Unnamed: 0
int64 0
849k
| prompt
stringlengths 503
1.06k
| completion
stringlengths 36
610
|
|---|---|---|
0 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', 'Golden retriever'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Tampa', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', 'Golden retriever']
|
1 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/place_of_birth', '<mask>', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Tom DeFalco', '/people/person/place_of_birth', 'Queens', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar']
|
2 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Berkshire County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Hampden County', '<mask>', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Berkshire County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Hampden County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
|
3 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/religion', 'Catholicism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Edward Burns', '/people/person/religion', 'Catholicism']
|
4 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Good Night, and Good Luck.', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer']
|
5 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Maximilian Schell', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Maximilian Schell', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Dresden']
|
6 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['art punk', '/music/genre/parent_genre', 'glam rock', '/music/genre/artists', 'Brian Eno', '/music/artist/track_contributions./music/track_contribution/role', '<mask>', '/music/instrument/instrumentalists', 'Walter Becker'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['art punk', '/music/genre/parent_genre', 'glam rock', '/music/genre/artists', 'Brian Eno', '/music/artist/track_contributions./music/track_contribution/role', 'bass guitar', '/music/instrument/instrumentalists', 'Walter Becker']
|
7 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'make-up artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Bedtime Stories', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'make-up artist']
|
8 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'SC Cambuur', '<mask>', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Lugano'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['FC Dinamo Tbilisi', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'SC Cambuur', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Lugano']
|
9 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Curtis Mayfield', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Curtis Mayfield', '/people/person/profession', 'record producer']
|
10 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/featured_film_locations', 'Australia', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Canada', '/location/location/contains', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Shine', '/film/film/featured_film_locations', 'Australia', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Canada', '/location/location/contains', 'Dalhousie University']
|
11 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Sapporo', '/base/aareas/schema/administrative_area/administrative_parent', '<mask>', '/location/administrative_division/country', 'Japan', '<mask>', 'United Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'New York City'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Sapporo', '/base/aareas/schema/administrative_area/administrative_parent', 'Hokkaido', '/location/administrative_division/country', 'Japan', '/organization/organization_member/member_of./organization/organization_membership/organization', 'United Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'New York City']
|
12 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Judy Greer', '/film/actor/film./film/performance/film', '13 Going on 30', '/film/film/genre', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Judy Greer', '/film/actor/film./film/performance/film', '13 Going on 30', '/film/film/genre', 'romantic comedy']
|
13 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Olivia Wilde', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Jennifer Morrison', '<mask>', '<mask>', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'November', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'October'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Olivia Wilde', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Jennifer Morrison', '/people/person/places_lived./people/place_lived/location', 'Los Angeles', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'November', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'October']
|
14 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['superhero', '<mask>', 'superhero film'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['superhero', '/dataworld/gardening_hint/split_to', 'superhero film']
|
15 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Jermaine Easter', '/soccer/football_player/current_team./sports/sports_team_roster/team', '<mask>', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Al-Arabi SC', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Jermaine Easter', '/soccer/football_player/current_team./sports/sports_team_roster/team', 'Hartlepool United F.C.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Al-Arabi SC', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward']
|
16 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'Timothy Hutton', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Ordinary People', '<mask>', 'Academy Award for Best Director', '<mask>', 'Secrets & Lies'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['The Good Shepherd', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Timothy Hutton', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Ordinary People', '/award/award_winning_work/awards_won./award/award_honor/award', 'Academy Award for Best Director', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Secrets & Lies']
|
17 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Emmylou Harris', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Earl Scruggs', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Dwight Yoakam', '<mask>', 'J. T. Walsh', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Joan Allen'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Emmylou Harris', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Earl Scruggs', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Dwight Yoakam', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'J. T. Walsh', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Joan Allen']
|
18 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Norfolk Admirals', '<mask>', 'blue'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Norfolk Admirals', '/sports/sports_team/colors', 'blue']
|
19 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/deceased_person/place_of_death', 'Los Angeles', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Andy Hallett', '/people/deceased_person/place_of_death', 'Los Angeles', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', 'Bulldog']
|
20 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['The Wiz', '/film/film/language', 'English', '/language/human_language/countries_spoken_in', 'The Gambia', '<mask>', '<mask>', '/organization/organization/headquarters./location/mailing_address/citytown', 'New York City'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['The Wiz', '/film/film/language', 'English', '/language/human_language/countries_spoken_in', 'The Gambia', '/organization/organization_member/member_of./organization/organization_membership/organization', 'United Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'New York City']
|
21 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/organization/organization/headquarters./location/mailing_address/state_province_region', 'Texas', '/location/statistical_region/religions./location/religion_percentage/religion', 'Pentecostalism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['3D Realms', '/organization/organization/headquarters./location/mailing_address/state_province_region', 'Texas', '/location/statistical_region/religions./location/religion_percentage/religion', 'Pentecostalism']
|
22 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['post-metal', '/music/genre/parent_genre', 'industrial music', '/music/genre/artists', '<mask>', '/music/artist/origin', 'Memphis', '/location/hud_county_place/place', 'Memphis'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['post-metal', '/music/genre/parent_genre', 'industrial music', '/music/genre/artists', 'Skillet', '/music/artist/origin', 'Memphis', '/location/hud_county_place/place', 'Memphis']
|
23 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['John Carradine', '/people/person/places_lived./people/place_lived/location', '<mask>', '/location/location/time_zones', 'Pacific Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['John Carradine', '/people/person/places_lived./people/place_lived/location', 'Oxnard', '/location/location/time_zones', 'Pacific Time Zone']
|
24 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Edward Norton', '/film/actor/film./film/performance/film', 'The Painted Veil', '/award/award_winning_work/awards_won./award/award_honor/award', 'Golden Globe Award for Best Original Score', '<mask>', 'Basic Instinct', '/film/film/music', 'Jerry Goldsmith'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Edward Norton', '/film/actor/film./film/performance/film', 'The Painted Veil', '/award/award_winning_work/awards_won./award/award_honor/award', 'Golden Globe Award for Best Original Score', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Basic Instinct', '/film/film/music', 'Jerry Goldsmith']
|
25 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Superman', '<mask>', 'Superman II', '/film/film/story_by', 'Jerry Siegel', '<mask>', 'United States of America'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Robert Benton', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Superman', '/award/award_nominated_work/award_nominations./award/award_nomination/nominated_for', 'Superman II', '/film/film/story_by', 'Jerry Siegel', '/people/deceased_person/place_of_death', 'United States of America']
|
26 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Finland', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '<mask>', '/user/jg/default_domain/olympic_games/sports', '<mask>', '/sports/sport/pro_athletes./sports/pro_sports_played/athlete', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Brazil', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Finland', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '2004 Summer Olympics', '/user/jg/default_domain/olympic_games/sports', 'association football', '/sports/sport/pro_athletes./sports/pro_sports_played/athlete', 'Thiago Silva']
|
27 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Penobscot County', '<mask>', 'Bangor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Penobscot County', '/location/location/contains', 'Bangor']
|
28 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Ottawa Senators', '/ice_hockey/hockey_team/current_roster./sports/sports_team_roster/position', 'defenseman', '<mask>', 'Albany Devils', '/sports/sports_team/colors', '<mask>', '/dataworld/gardening_hint/split_to', 'white'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Ottawa Senators', '/ice_hockey/hockey_team/current_roster./sports/sports_team_roster/position', 'defenseman', '/sports/sports_position/players./sports/sports_team_roster/team', 'Albany Devils', '/sports/sports_team/colors', 'red', '/dataworld/gardening_hint/split_to', 'white']
|
29 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Friends', '<mask>', 'David Crane', '/award/award_nominee/award_nominations./award/award_nomination/award', '<mask>', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Girls', '/film/film/country', 'United States of America'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Friends', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'David Crane', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Primetime Emmy Award for Outstanding Writing for a Comedy Series', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Girls', '/film/film/country', 'United States of America']
|
30 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Cannes Film Festival Award for Best Actress', '/award/award_category/winners./award/award_honor/award_winner', 'Isabelle Adjani', '<mask>', 'Academy Award for Best Actress', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Dangerous Liaisons', '<mask>', 'Christopher Hampton'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Cannes Film Festival Award for Best Actress', '/award/award_category/winners./award/award_honor/award_winner', 'Isabelle Adjani', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Academy Award for Best Actress', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Dangerous Liaisons', '/film/film/story_by', 'Christopher Hampton']
|
31 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'graphic designer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['The Chronicles of Narnia: The Voyage of the Dawn Treader', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'graphic designer']
|
32 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Gus Van Sant', '/people/person/places_lived./people/place_lived/location', 'Portland', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Gus Van Sant', '/people/person/places_lived./people/place_lived/location', 'Portland', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', 'Labrador retriever']
|
33 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Northern Ireland national association football team', '<mask>', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Lyngby Boldklub'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Northern Ireland national association football team', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'A.C. Perugia Calcio', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Lyngby Boldklub']
|
34 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Parma Calcio 1913', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '<mask>', 'FC Inter Milan'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Parma Calcio 1913', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Inter Milan']
|
35 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Abilene', '<mask>', 'Abilene'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Abilene', '/location/hud_county_place/place', 'Abilene']
|
36 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/sports/sports_team/sport', 'association football', '<mask>', 'Ghana', '/location/statistical_region/gdp_nominal./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Racing Club de Avellaneda', '/sports/sports_team/sport', 'association football', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Ghana', '/location/statistical_region/gdp_nominal./measurement_unit/dated_money_value/currency', 'United States dollar']
|
37 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Eswatini', '<mask>', 'United Nations', '<mask>', 'New York City', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'December', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'March'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Eswatini', '/organization/organization_member/member_of./organization/organization_membership/organization', 'United Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'New York City', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'December', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'March']
|
38 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '<mask>', 'Hartlepool United F.C.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Egypt national football team', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Hartlepool United F.C.']
|
39 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Jonathan Murray', '/people/person/profession', '<mask>', '/people/profession/specialization_of', 'writer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Jonathan Murray', '/people/person/profession', 'screenwriter', '/people/profession/specialization_of', 'writer']
|
40 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Greene County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Ulster County', '/location/us_county/county_seat', 'Kingston', '<mask>', 'United States of America', '/location/location/contains', 'Indiana State University'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Greene County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Ulster County', '/location/us_county/county_seat', 'Kingston', '/base/biblioness/bibs_location/country', 'United States of America', '/location/location/contains', 'Indiana State University']
|
41 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/organization/non_profit_organization/registered_with./organization/non_profit_registration/registering_agency', 'Internal Revenue Service'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Hobart and William Smith Colleges', '/organization/non_profit_organization/registered_with./organization/non_profit_registration/registering_agency', 'Internal Revenue Service']
|
42 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Tbilisi', '<mask>', 'Greenwich Mean Time'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Tbilisi', '/location/location/time_zones', 'Greenwich Mean Time']
|
43 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['37th Academy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', '<mask>', '<mask>', 'Samson and Delilah', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Ray Moyer', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['37th Academy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Dorothy Jeakins', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Samson and Delilah', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Ray Moyer', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'John DeCuir, Sr.']
|
44 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Oingo Boingo', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Music Film', '/award/award_category/winners./award/award_honor/ceremony', '48th Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Oingo Boingo', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Music Film', '/award/award_category/winners./award/award_honor/ceremony', '48th Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Jon Brion', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Kanye West']
|
45 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Grammy Award for Best Contemporary Jazz Album', '/award/award_category/winners./award/award_honor/ceremony', '51st Annual Grammy Awards', '<mask>', 'Pete Seeger', '/music/artist/track_contributions./music/track_contribution/role', '<mask>', '/music/performance_role/track_performances./music/track_contribution/role', 'melodica'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Grammy Award for Best Contemporary Jazz Album', '/award/award_category/winners./award/award_honor/ceremony', '51st Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Pete Seeger', '/music/artist/track_contributions./music/track_contribution/role', 'banjo', '/music/performance_role/track_performances./music/track_contribution/role', 'melodica']
|
46 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['C.F. Os Belenenses', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'Heracles Almelo', '<mask>', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Utrecht'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['C.F. Os Belenenses', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Heracles Almelo', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Utrecht']
|
47 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Margaret Thatcher', '<mask>', 'Ayn Rand', '/people/deceased_person/place_of_death', '<mask>', '<mask>', 'Fashion Institute of Technology', '<mask>', 'New York'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Margaret Thatcher', '/influence/influence_node/influenced_by', 'Ayn Rand', '/people/deceased_person/place_of_death', 'New York City', '/location/location/contains', 'Fashion Institute of Technology', '/organization/organization/headquarters./location/mailing_address/state_province_region', 'New York']
|
48 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/education/educational_institution/students_graduates./education/education/student', '<mask>', '<mask>', 'Alison Krauss', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Sting', '/music/artist/track_contributions./music/track_contribution/role', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Harvard University', '/education/educational_institution/students_graduates./education/education/student', 'Joshua Redman', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Alison Krauss', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Sting', '/music/artist/track_contributions./music/track_contribution/role', 'guitar']
|
49 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/organization/organization/headquarters./location/mailing_address/citytown', 'Burbank', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Disney Interactive Studios', '/organization/organization/headquarters./location/mailing_address/citytown', 'Burbank', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
|
50 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Flight of the Conchords', '<mask>', 'sitcom'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Flight of the Conchords', '/tv/tv_program/genre', 'sitcom']
|
51 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', 'Yorkshire Terrier'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Memphis', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', 'Yorkshire Terrier']
|
52 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/cinematography', 'Joseph F. Biroc', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Seattle University', '/education/educational_institution/campuses', 'Seattle University'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['The Towering Inferno', '/film/film/cinematography', 'Joseph F. Biroc', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Seattle University', '/education/educational_institution/campuses', 'Seattle University']
|
53 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['TNT', '/organization/organization/headquarters./location/mailing_address/citytown', 'Atlanta', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['TNT', '/organization/organization/headquarters./location/mailing_address/citytown', 'Atlanta', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'September']
|
54 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Helen Rose', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Bad and the Beautiful', '/award/award_winning_work/awards_won./award/award_honor/award', '<mask>', '/award/award_category/nominees./award/award_nomination/nominated_for', 'The Godfather Part III', '/film/film/featured_film_locations', 'New York City'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Helen Rose', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Bad and the Beautiful', '/award/award_winning_work/awards_won./award/award_honor/award', 'Academy Award for Best Cinematography', '/award/award_category/nominees./award/award_nomination/nominated_for', 'The Godfather Part III', '/film/film/featured_film_locations', 'New York City']
|
55 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Gateshead F.C.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>', '/soccer/football_team/current_roster./soccer/football_roster_position/position', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Gateshead F.C.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'CFR Cluj', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Kidderminster Harriers F.C.']
|
56 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/profession', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Tracey Ullman', '/people/person/profession', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor']
|
57 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/user/jg/default_domain/olympic_games/sports', 'eventing'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['1924 Summer Olympics', '/user/jg/default_domain/olympic_games/sports', 'eventing']
|
58 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/sports/sports_team/roster./american_football/football_historical_roster_position/position_s', 'running back', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>', '<mask>', 'tight end'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Jacksonville Jaguars', '/sports/sports_team/roster./american_football/football_historical_roster_position/position_s', 'running back', '/sports/sports_position/players./sports/sports_team_roster/team', 'Jacksonville Jaguars', '/american_football/football_team/current_roster./sports/sports_team_roster/position', 'tight end']
|
59 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['The Pink Panther 2', '/film/film/other_crew./film/film_crew_gig/film_crew_role', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['The Pink Panther 2', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer']
|
60 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Kickers Offenbach', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'Club Social y Deportivo Colo Colo', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Kickers Offenbach', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Club Social y Deportivo Colo Colo', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Stevenage F.C.']
|
61 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Felicity Huffman', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Eva Longoria', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Nicollette Sheridan'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Mark Moses', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Felicity Huffman', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Nicollette Sheridan', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Eva Longoria', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Nicollette Sheridan']
|
62 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_winning_work/awards_won./award/award_honor/award', 'Screen Actors Guild Award for Outstanding Performance by a Male Actor in a Miniseries or Television Movie', '<mask>', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Some Like It Hot', '/film/film/genre', 'screwball comedy film'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['The Life and Death of Peter Sellers', '/award/award_winning_work/awards_won./award/award_honor/award', 'Screen Actors Guild Award for Outstanding Performance by a Male Actor in a Miniseries or Television Movie', '/award/award_category/winners./award/award_honor/award_winner', 'Jack Lemmon', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Some Like It Hot', '/film/film/genre', 'screwball comedy film']
|
63 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Denton County', '<mask>', '<mask>', '/location/location/time_zones', 'Central Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Denton County', '/location/location/contains', 'Fort Worth', '/location/location/time_zones', 'Central Time Zone']
|
64 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Carole Lombard', '/people/person/spouse_s./people/marriage/spouse', 'Clark Gable', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'It Happened One Night', '/film/film/genre', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Carole Lombard', '/people/person/spouse_s./people/marriage/spouse', 'Clark Gable', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'It Happened One Night', '/film/film/genre', 'road movie']
|
65 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Downton Abbey', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Hugh Bonneville'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Iain Glen', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Downton Abbey', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Hugh Bonneville']
|
66 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Gallipoli', '/film/film/film_festivals', '32nd Berlin International Film Festival', '/time/event/instance_of_recurring_event', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Gallipoli', '/film/film/film_festivals', '32nd Berlin International Film Festival', '/time/event/instance_of_recurring_event', 'Berlin International Film Festival']
|
67 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Manhattan', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'East River', '<mask>', 'Brooklyn'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Manhattan', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'East River', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Brooklyn']
|
68 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Martin Freeman', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Primetime Emmy Award for Outstanding Supporting Actor in a Miniseries or a Movie', '<mask>', 'George C. Scott', '/award/award_nominee/award_nominations./award/award_nomination/award', '<mask>', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Angels in America'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Martin Freeman', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Primetime Emmy Award for Outstanding Supporting Actor in a Miniseries or a Movie', '/award/award_category/winners./award/award_honor/award_winner', 'George C. Scott', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Angels in America']
|
69 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Lancaster', '<mask>', '<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Berks County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Lancaster', '/location/hud_county_place/county', 'Lancaster County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Berks County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
|
70 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['27th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', 'Michigan', '/location/location/contains', '<mask>', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['27th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', 'Michigan', '/location/location/contains', 'Royal Oak', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
|
71 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['freak folk', '<mask>', 'Damon Albarn', '/people/person/profession', 'actor', '<mask>', 'actor', '/dataworld/gardening_hint/split_to', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['freak folk', '/music/genre/artists', 'Damon Albarn', '/people/person/profession', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor']
|
72 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/release_date_s./film/film_regional_release_date/film_release_distribution_medium', 'DVD'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Collateral', '/film/film/release_date_s./film/film_regional_release_date/film_release_distribution_medium', 'DVD']
|
73 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Overijssel', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Gelderland', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'South Holland', '<mask>', 'North Brabant'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Overijssel', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Gelderland', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'South Holland', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'North Brabant']
|
74 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['harpsichordist', '<mask>', 'musician', '<mask>', 'artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['harpsichordist', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist']
|
75 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['dance-pop', '<mask>', '<mask>', '/base/schemastaging/person_extra/net_worth./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['dance-pop', '/music/genre/artists', 'Emilio Estefan', '/base/schemastaging/person_extra/net_worth./measurement_unit/dated_money_value/currency', 'United States dollar']
|
76 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/music/genre/artists', '<mask>', '/music/group_member/membership./music/group_membership/group', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Album of the Year', '<mask>', 'Stevie Wonder'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['country blues', '/music/genre/artists', 'Ray Charles', '/music/group_member/membership./music/group_membership/group', 'USA for Africa', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Album of the Year', '/award/award_category/winners./award/award_honor/award_winner', 'Stevie Wonder']
|
77 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/profession', 'voice actor', '<mask>', 'actor', '/dataworld/gardening_hint/split_to', '<mask>', '/dataworld/gardening_hint/split_to', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Lou Scheimer', '/people/person/profession', 'voice actor', '/people/profession/specialization_of', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor']
|
78 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Jackson', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Jackson', '/location/location/time_zones', 'Eastern Time Zone']
|
79 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Xerox', '<mask>', 'manufacturing', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Xerox', '/business/business_operation/industry', 'manufacturing', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification']
|
80 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['mockumentary', '<mask>', 'EDtv', '<mask>', 'parody'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['mockumentary', '/media_common/netflix_genre/titles', 'EDtv', '/film/film/genre', 'parody']
|
81 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['stoner rock', '/music/genre/artists', '<mask>', '<mask>', 'Nirvana'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['stoner rock', '/music/genre/artists', 'Dave Grohl', '/music/group_member/membership./music/group_membership/group', 'Nirvana']
|
82 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Laos', '<mask>', 'Vietnam', '<mask>', '<mask>', '/base/biblioness/bibs_location/country', '<mask>', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/medal', 'silver medal'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Laos', '/location/statistical_region/places_exported_to./location/imports_and_exports/exported_to', 'Vietnam', '/location/location/contains', 'Ho Chi Minh City', '/base/biblioness/bibs_location/country', 'Vietnam', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/medal', 'silver medal']
|
83 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['True Lies', '/award/award_winning_work/awards_won./award/award_honor/award_winner', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['True Lies', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Jamie Lee Curtis']
|
84 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['acoustic guitar', '<mask>', '<mask>', '/music/instrument/instrumentalists', 'Michael Jackson', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', '<mask>', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['acoustic guitar', '/music/performance_role/track_performances./music/track_contribution/role', 'bongo drum', '/music/instrument/instrumentalists', 'Michael Jackson', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Mila Kunis', '/people/person/profession', 'voice actor']
|
85 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Tonga', '/base/aareas/schema/administrative_area/administrative_parent', '<mask>', '<mask>', 'Library of Congress Classification'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Tonga', '/base/aareas/schema/administrative_area/administrative_parent', 'Earth', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification']
|
86 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Golden Lion', '/award/award_category/winners./award/award_honor/award_winner', 'Ang Lee', '/film/director/film', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Golden Lion', '/award/award_category/winners./award/award_honor/award_winner', 'Ang Lee', '/film/director/film', 'Hulk']
|
87 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Tony Award for Best Choreography', '/award/award_category/winners./award/award_honor/award_winner', 'Bob Fosse', '/people/deceased_person/place_of_death', 'Washington, D.C.', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>', '/location/location/contains', 'Lynchburg'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Tony Award for Best Choreography', '/award/award_category/winners./award/award_honor/award_winner', 'Bob Fosse', '/people/deceased_person/place_of_death', 'Washington, D.C.', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Virginia', '/location/location/contains', 'Lynchburg']
|
88 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/nationality', 'England', '<mask>', 'York', '/location/location/contains', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['The Edge', '/people/person/nationality', 'England', '/location/country/second_level_divisions', 'York', '/location/location/contains', 'University of York']
|
89 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Norwich University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', '<mask>', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Norwich University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'biology', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification']
|
90 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Billy Zane', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Victor Garber', '<mask>', 'Ben Affleck', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Bernard Hill', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Billy Zane', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Victor Garber', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Ben Affleck', '/celebrities/celebrity/celebrity_friends./celebrities/friendship/friend', 'Matt Damon']
|
91 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/location/country/official_language', 'French', '<mask>', '<mask>', '/award/award_winning_work/awards_won./award/award_honor/award', 'BAFTA Award for Best Makeup and Hair', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Frost/Nixon'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Central African Republic', '/location/country/official_language', 'French', '/media_common/netflix_genre/titles', 'Cyrano de Bergerac', '/award/award_winning_work/awards_won./award/award_honor/award', 'BAFTA Award for Best Makeup and Hair', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Frost/Nixon']
|
92 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '<mask>', 'Dijon', '<mask>', 'Burgundy', '/base/aareas/schema/administrative_area/administrative_parent', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Leander Paes', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Dijon', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Burgundy', '/base/aareas/schema/administrative_area/administrative_parent', 'France']
|
93 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'Alexander', '/film/film/film_format', 'Super 35'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Constantin Film', '/film/film_distributor/films_distributed./film/film_film_distributor_relationship/film', 'Alexander', '/film/film/film_format', 'Super 35']
|
94 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Addams Family Values', '/film/film/film_production_design_by', 'Ken Adam', '<mask>', 'The Spy Who Loved Me', '<mask>', '<mask>', '<mask>', '1988 Winter Olympics'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Addams Family Values', '/film/film/film_production_design_by', 'Ken Adam', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Spy Who Loved Me', '/film/film/featured_film_locations', 'Italy', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '1988 Winter Olympics']
|
95 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['MTV2', '/broadcast/content/artist', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Just Blaze', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Kanye West', '/people/person/profession', 'businessperson'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['MTV2', '/broadcast/content/artist', 'Dr. Dre', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Just Blaze', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Kanye West', '/people/person/profession', 'businessperson']
|
96 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/business/business_operation/revenue./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Beloit College', '/business/business_operation/revenue./measurement_unit/dated_money_value/currency', 'United States dollar']
|
97 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Gary Sinise', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Bill Paxton', '/people/person/profession', 'film producer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Kevin Bacon', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Gary Sinise', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Bill Paxton', '/people/person/profession', 'film producer']
|
98 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Chronicle', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Chronicle', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Singapore']
|
99 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Kevin Smith', '/film/actor/film./film/performance/film', 'Scream 3', '/film/film/other_crew./film/film_crew_gig/film_crew_role', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['Kevin Smith', '/film/actor/film./film/performance/film', 'Scream 3', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'sound editor']
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.