Dataset Viewer
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', '<mask>', '<mask>', 'dinosaur.n.01', '_hypernym', 'archosaur.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['hadrosaur.n.01', '_hypernym', 'ornithischian.n.01', '_hypernym', 'dinosaur.n.01', '_hypernym', 'archosaur.n.01', '_hypernym', 'diapsid.n.01']
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1 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['generalization.n.04', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['generalization.n.04', '_hypernym', 'transfer.n.05']
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2 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_has_part', 'sixties.n.02', '_hypernym', 'time_of_life.n.01', '_hypernym', 'time_period.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['old_age.n.01', '_has_part', 'sixties.n.02', '_hypernym', 'time_of_life.n.01', '_hypernym', 'time_period.n.01', '_hypernym', 'fundamental_quantity.n.01']
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3 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_member_meronym', 'vegetation.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['biota.n.01', '_member_meronym', 'vegetation.n.01']
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4 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['leiopelma.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
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['leiopelma.n.01', '_hypernym', 'amphibian_genus.n.01']
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5 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['high_blood_pressure.n.01', '_hypernym', 'cardiovascular_disease.n.01', '_hypernym', '<mask>', '_hypernym', 'physical_condition.n.01', '_hypernym', 'condition.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['high_blood_pressure.n.01', '_hypernym', 'cardiovascular_disease.n.01', '_hypernym', 'disorder.n.01', '_hypernym', 'physical_condition.n.01', '_hypernym', 'condition.n.01']
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6 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'soldier.n.01', '_hypernym', 'enlisted_person.n.01', '_hypernym', 'serviceman.n.01', '_hypernym', 'skilled_worker.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['lawrence.n.02', '_instance_hypernym', 'soldier.n.01', '_hypernym', 'enlisted_person.n.01', '_hypernym', 'serviceman.n.01', '_hypernym', 'skilled_worker.n.01']
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7 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['line.n.05', '<mask>', 'text.n.01', '_hypernym', 'matter.n.06', '_hypernym', 'writing.n.02', '<mask>', 'written_communication.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['line.n.05', '_hypernym', 'text.n.01', '_hypernym', 'matter.n.06', '_hypernym', 'writing.n.02', '_hypernym', 'written_communication.n.01']
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8 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'legal_document.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['opinion.n.04', '_hypernym', 'legal_document.n.01']
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9 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['butterfly_orchid.n.04', '_hypernym', 'orchid.n.01', '_hypernym', 'flower.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['butterfly_orchid.n.04', '_hypernym', 'orchid.n.01', '_hypernym', 'flower.n.01', '_hypernym', 'angiosperm.n.01']
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10 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_has_part', 'pocket.n.09', '<mask>', 'opening.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['pool_table.n.01', '_has_part', 'pocket.n.09', '_hypernym', 'opening.n.01']
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11 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['rapateaceae.n.01', '<mask>', 'monocot_family.n.01', '_hypernym', 'family.n.06', '<mask>', 'biology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['rapateaceae.n.01', '_hypernym', 'monocot_family.n.01', '_hypernym', 'family.n.06', '_synset_domain_topic_of', 'biology.n.01']
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12 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['gleditsia.n.01', '_member_meronym', 'water_locust.n.01', '<mask>', '<mask>', '_hypernym', 'tree.n.01', '<mask>', 'stump.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['gleditsia.n.01', '_member_meronym', 'water_locust.n.01', '_hypernym', 'locust_tree.n.01', '_hypernym', 'tree.n.01', '_has_part', 'stump.n.01']
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13 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'existentialist.n.01', '_derivationally_related_form', '<mask>', '<mask>', '<mask>', '_hypernym', 'doctrine.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['sartre.n.01', '_instance_hypernym', 'existentialist.n.01', '_derivationally_related_form', 'existentialism.n.01', '_hypernym', 'philosophical_doctrine.n.01', '_hypernym', 'doctrine.n.01']
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14 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', '<mask>', '_hypernym', 'waste.n.01', '_hypernym', 'material.n.01', '<mask>', 'substance.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['vomit.n.01', '_hypernym', 'body_waste.n.01', '_hypernym', 'waste.n.01', '_hypernym', 'material.n.01', '_hypernym', 'substance.n.01']
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15 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['hyemoschus.n.01', '_hypernym', 'mammal_genus.n.01', '_hypernym', 'genus.n.02', '<mask>', 'subgenus.n.01', '<mask>', 'biology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['hyemoschus.n.01', '_hypernym', 'mammal_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'subgenus.n.01', '_synset_domain_topic_of', 'biology.n.01']
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16 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['brake_shoe.n.01', '<mask>', 'restraint.n.06', '_hypernym', 'device.n.01', '<mask>', '<mask>', '_hypernym', 'artifact.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['brake_shoe.n.01', '_hypernym', 'restraint.n.06', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03', '_hypernym', 'artifact.n.01']
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17 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['prednisolone.n.01', '_hypernym', '<mask>', '_hypernym', 'corticosteroid.n.01', '_hypernym', 'steroid_hormone.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['prednisolone.n.01', '_hypernym', 'glucocorticoid.n.01', '_hypernym', 'corticosteroid.n.01', '_hypernym', 'steroid_hormone.n.01', '_hypernym', 'hormone.n.01']
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18 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['marrubium.n.01', '_member_meronym', 'horehound.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['marrubium.n.01', '_member_meronym', 'horehound.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']
|
19 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['enterobius.n.01', '_member_meronym', '<mask>', '_hypernym', '<mask>', '_hypernym', 'worm.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['enterobius.n.01', '_member_meronym', 'pinworm.n.01', '_hypernym', 'nematode.n.01', '_hypernym', 'worm.n.01', '_hypernym', 'invertebrate.n.01']
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20 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['caucasia.n.01', '_instance_hypernym', 'geographical_area.n.01', '_hypernym', 'region.n.03', '<mask>', 'location.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['caucasia.n.01', '_instance_hypernym', 'geographical_area.n.01', '_hypernym', 'region.n.03', '_hypernym', 'location.n.01']
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21 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['yiddish.n.01', '<mask>', 'shegetz.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['yiddish.n.01', '_member_of_domain_usage', 'shegetz.n.01']
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22 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_derivationally_related_form', 'electric_organ.n.01', '_derivationally_related_form', '<mask>', '<mask>', 'electric_organ.n.01', '<mask>', 'organist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['organist.n.01', '_derivationally_related_form', 'electric_organ.n.01', '_derivationally_related_form', 'organist.n.01', '_derivationally_related_form', 'electric_organ.n.01', '_derivationally_related_form', 'organist.n.01']
|
23 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'podicipitiform_seabird.n.01', '_hypernym', '<mask>', '_hypernym', 'aquatic_bird.n.01', '<mask>', 'bird.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['grebe.n.01', '_hypernym', 'podicipitiform_seabird.n.01', '_hypernym', 'seabird.n.01', '_hypernym', 'aquatic_bird.n.01', '_hypernym', 'bird.n.01']
|
24 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['valerianella.n.01', '<mask>', '<mask>', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['valerianella.n.01', '_member_meronym', 'corn_salad.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']
|
25 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'playing_field.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['ball_field.n.01', '_hypernym', 'playing_field.n.02']
|
26 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'althea.n.01', '_hypernym', 'mallow.n.01', '_hypernym', 'shrub.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['marsh_mallow.n.01', '_hypernym', 'althea.n.01', '_hypernym', 'mallow.n.01', '_hypernym', 'shrub.n.01', '_hypernym', 'woody_plant.n.01']
|
27 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['set.n.02', '_synset_domain_topic_of', 'mathematics.n.01', '<mask>', 'science.n.01', '_has_part', 'scientific_theory.n.01', '_hypernym', 'theory.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['set.n.02', '_synset_domain_topic_of', 'mathematics.n.01', '_hypernym', 'science.n.01', '_has_part', 'scientific_theory.n.01', '_hypernym', 'theory.n.01']
|
28 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['dominican_republic.n.01', '_instance_hypernym', 'country.n.02', '_member_meronym', '<mask>', '<mask>', '<mask>', '<mask>', 'district.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['dominican_republic.n.01', '_instance_hypernym', 'country.n.02', '_member_meronym', 'state.n.01', '_hypernym', 'administrative_district.n.01', '_hypernym', 'district.n.01']
|
29 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['nitrospan.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['nitrospan.n.02', '_hypernym', 'vasodilator.n.01']
|
30 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['sweet_melon.n.01', '_hypernym', 'melon.n.02', '_hypernym', 'gourd.n.03', '<mask>', 'vine.n.01', '_hypernym', 'vascular_plant.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['sweet_melon.n.01', '_hypernym', 'melon.n.02', '_hypernym', 'gourd.n.03', '_hypernym', 'vine.n.01', '_hypernym', 'vascular_plant.n.01']
|
31 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['baked_potato.n.01', '_hypernym', 'potato.n.01', '_hypernym', 'starches.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['baked_potato.n.01', '_hypernym', 'potato.n.01', '_hypernym', 'starches.n.01', '_hypernym', 'foodstuff.n.02', '_hypernym', 'food.n.01']
|
32 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'anesthetic.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['spinal_anesthetic.n.01', '_hypernym', 'anesthetic.n.01']
|
33 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['october.n.01', '<mask>', 'columbus_day.n.01', '<mask>', '<mask>', '<mask>', 'holiday.n.02', '_hypernym', 'day.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['october.n.01', '_has_part', 'columbus_day.n.01', '_hypernym', 'legal_holiday.n.01', '_hypernym', 'holiday.n.02', '_hypernym', 'day.n.03']
|
34 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['paraphrase.n.01', '<mask>', 'rewording.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['paraphrase.n.01', '_hypernym', 'rewording.n.01']
|
35 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['suspension_point.n.01', '<mask>', 'period.n.07'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['suspension_point.n.01', '_hypernym', 'period.n.07']
|
36 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['pine_nut.n.01', '_hypernym', 'edible_nut.n.01', '_hypernym', 'nut.n.01', '_hypernym', 'seed.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['pine_nut.n.01', '_hypernym', 'edible_nut.n.01', '_hypernym', 'nut.n.01', '_hypernym', 'seed.n.01', '_hypernym', 'fruit.n.01']
|
37 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', '<mask>', '_hypernym', '<mask>', '_hypernym', 'bat.n.01', '_hypernym', 'placental.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['jackass_bat.n.01', '_hypernym', 'vespertilian_bat.n.01', '_hypernym', 'carnivorous_bat.n.01', '_hypernym', 'bat.n.01', '_hypernym', 'placental.n.01']
|
38 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['temperance.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['temperance.n.01', '_hypernym', 'restraint.n.02']
|
39 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['hamamelid_dicot_genus.n.01', '<mask>', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_hypernym', 'taxonomic_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['hamamelid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01', '_hypernym', 'taxonomic_group.n.01']
|
40 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_synset_domain_topic_of', 'military.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['colonel.n.01', '_synset_domain_topic_of', 'military.n.01']
|
41 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['cattleship.n.01', '_hypernym', 'cargo_ship.n.01', '_hypernym', 'ship.n.01', '_has_part', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['cattleship.n.01', '_hypernym', 'cargo_ship.n.01', '_hypernym', 'ship.n.01', '_has_part', 'sheet.n.07']
|
42 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['gilbert_islands.n.01', '_member_of_domain_region', 'tarawa.n.02', '<mask>', 'amphibious_assault.n.01', '_hypernym', 'amphibious_operation.n.01', '_hypernym', 'operation.n.05'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['gilbert_islands.n.01', '_member_of_domain_region', 'tarawa.n.02', '_instance_hypernym', 'amphibious_assault.n.01', '_hypernym', 'amphibious_operation.n.01', '_hypernym', 'operation.n.05']
|
43 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['progenitor.n.01', '<mask>', 'ancestor.n.01', '<mask>', 'relative.n.01', '_derivationally_related_form', 'kinship.n.02', '_derivationally_related_form', 'relative.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['progenitor.n.01', '_hypernym', 'ancestor.n.01', '_hypernym', 'relative.n.01', '_derivationally_related_form', 'kinship.n.02', '_derivationally_related_form', 'relative.n.01']
|
44 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['saprolegniales.n.01', '_hypernym', 'fungus_order.n.01', '<mask>', 'order.n.12', '_member_meronym', 'family.n.06', '<mask>', 'arenaviridae.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['saprolegniales.n.01', '_hypernym', 'fungus_order.n.01', '_hypernym', 'order.n.12', '_member_meronym', 'family.n.06', '_member_meronym', 'arenaviridae.n.01']
|
45 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'drive.n.09'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['thirst.n.01', '_hypernym', 'drive.n.09']
|
46 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['soapberry.n.01', '<mask>', '<mask>', '_has_part', 'trunk.n.01', '<mask>', 'bark.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['soapberry.n.01', '_hypernym', 'tree.n.01', '_has_part', 'trunk.n.01', '_has_part', 'bark.n.01', '_hypernym', 'covering.n.01']
|
47 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['altruism.n.01', '_derivationally_related_form', '<mask>', '<mask>', 'donor.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['altruism.n.01', '_derivationally_related_form', 'philanthropist.n.01', '_hypernym', 'donor.n.01']
|
48 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['diamond.n.02', '_hypernym', '<mask>', '<mask>', 'gem.n.02', '_hypernym', 'crystal.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['diamond.n.02', '_hypernym', 'transparent_gem.n.01', '_hypernym', 'gem.n.02', '_hypernym', 'crystal.n.01']
|
49 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['sarajevo.n.01', '_instance_hypernym', '<mask>', '_has_part', 'financial_center.n.01', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['sarajevo.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'financial_center.n.01', '_hypernym', 'center.n.01']
|
50 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'tract.n.01', '_hypernym', '<mask>', '_hypernym', 'region.n.03', '_hypernym', 'location.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['picnic_area.n.01', '_hypernym', 'tract.n.01', '_hypernym', 'geographical_area.n.01', '_hypernym', 'region.n.03', '_hypernym', 'location.n.01']
|
51 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['prosody.n.01', '_hypernym', 'manner_of_speaking.n.01', '_hypernym', '<mask>', '_synset_domain_topic_of', 'art.n.02', '_hypernym', 'creation.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['prosody.n.01', '_hypernym', 'manner_of_speaking.n.01', '_hypernym', 'expressive_style.n.01', '_synset_domain_topic_of', 'art.n.02', '_hypernym', 'creation.n.01']
|
52 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_has_part', '<mask>', '<mask>', 'samoa.n.01', '_has_part', 'apia.n.01', '_instance_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['polynesia.n.01', '_has_part', 'samoa.n.02', '_has_part', 'samoa.n.01', '_has_part', 'apia.n.01', '_instance_hypernym', 'national_capital.n.01']
|
53 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['luxor.n.01', '_instance_hypernym', 'city.n.01', '<mask>', 'municipality.n.01', '_hypernym', 'urban_area.n.01', '<mask>', 'geographical_area.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['luxor.n.01', '_instance_hypernym', 'city.n.01', '_hypernym', 'municipality.n.01', '_hypernym', 'urban_area.n.01', '_hypernym', 'geographical_area.n.01']
|
54 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['dopamine.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['dopamine.n.01', '_hypernym', 'monoamine_neurotransmitter.n.01']
|
55 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['teleost_fish.n.01', '_hypernym', 'bony_fish.n.01', '_hypernym', 'fish.n.01', '_hypernym', '<mask>', '_hypernym', 'vertebrate.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['teleost_fish.n.01', '_hypernym', 'bony_fish.n.01', '_hypernym', 'fish.n.01', '_hypernym', 'aquatic_vertebrate.n.01', '_hypernym', 'vertebrate.n.01']
|
56 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['utility.n.02', '_hypernym', 'quality.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>', '_hypernym', 'entity.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['utility.n.02', '_hypernym', 'quality.n.01', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06', '_hypernym', 'entity.n.01']
|
57 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'duty.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['prerequisite.n.01', '_hypernym', 'duty.n.01']
|
58 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['morpheme.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['morpheme.n.01', '_hypernym', 'language_unit.n.01']
|
59 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['opisthocomus.n.01', '_member_meronym', '<mask>', '_hypernym', 'gallinaceous_bird.n.01', '<mask>', 'bird.n.01', '<mask>', 'beak.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['opisthocomus.n.01', '_member_meronym', 'hoatzin.n.01', '_hypernym', 'gallinaceous_bird.n.01', '_hypernym', 'bird.n.01', '_has_part', 'beak.n.02']
|
60 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['platycerium.n.01', '_member_meronym', '<mask>', '_hypernym', '<mask>', '_hypernym', 'pteridophyte.n.01', '<mask>', 'vascular_plant.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['platycerium.n.01', '_member_meronym', 'staghorn_fern.n.01', '_hypernym', 'fern.n.01', '_hypernym', 'pteridophyte.n.01', '_hypernym', 'vascular_plant.n.01']
|
61 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['regression.n.02', '_synset_domain_topic_of', 'psychiatry.n.01', '<mask>', 'psychiatrist.n.01', '<mask>', 'specialist.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['regression.n.02', '_synset_domain_topic_of', 'psychiatry.n.01', '_derivationally_related_form', 'psychiatrist.n.01', '_hypernym', 'specialist.n.02']
|
62 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['question.n.02', '_hypernym', 'subject.n.01', '_hypernym', 'message.n.02', '<mask>', 'communication.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['question.n.02', '_hypernym', 'subject.n.01', '_hypernym', 'message.n.02', '_hypernym', 'communication.n.02']
|
63 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['biological_research.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['biological_research.n.01', '_hypernym', 'scientific_research.n.01']
|
64 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['hyssopus.n.01', '_member_meronym', 'hyssop.n.01', '<mask>', 'herb.n.01', '_has_part', '<mask>', '<mask>', 'produce.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['hyssopus.n.01', '_member_meronym', 'hyssop.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']
|
65 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'connection.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['alliance.n.02', '_hypernym', 'connection.n.01']
|
66 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['pulasan.n.02', '_hypernym', '<mask>', '_has_part', 'peel.n.02', '<mask>', '<mask>', '<mask>', 'material.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['pulasan.n.02', '_hypernym', 'edible_fruit.n.01', '_has_part', 'peel.n.02', '_hypernym', 'rind.n.01', '_hypernym', 'material.n.01']
|
67 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['legal_system.n.01', '<mask>', 'law.n.01', '_hypernym', 'collection.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['legal_system.n.01', '_synset_domain_topic_of', 'law.n.01', '_hypernym', 'collection.n.01']
|
68 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['mod_con.n.01', '<mask>', '<mask>', '_hypernym', '<mask>', '_hypernym', 'instrumentality.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['mod_con.n.01', '_hypernym', 'appliance.n.01', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03']
|
69 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'person.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['introvert.n.01', '_hypernym', 'person.n.01']
|
70 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['chrysopsis.n.01', '_member_meronym', 'golden_aster.n.01', '_hypernym', '<mask>', '<mask>', 'angiosperm.n.01', '_hypernym', 'spermatophyte.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['chrysopsis.n.01', '_member_meronym', 'golden_aster.n.01', '_hypernym', 'wildflower.n.01', '_hypernym', 'angiosperm.n.01', '_hypernym', 'spermatophyte.n.01']
|
71 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['teaching.n.02', '_hypernym', 'doctrine.n.01', '_derivationally_related_form', 'philosopher.n.02', '<mask>', 'doctrine.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['teaching.n.02', '_hypernym', 'doctrine.n.01', '_derivationally_related_form', 'philosopher.n.02', '_derivationally_related_form', 'doctrine.n.01']
|
72 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['potentilla.n.01', '<mask>', 'cinquefoil.n.01', '_hypernym', 'shrub.n.01', '_derivationally_related_form', 'shrublet.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['potentilla.n.01', '_member_meronym', 'cinquefoil.n.01', '_hypernym', 'shrub.n.01', '_derivationally_related_form', 'shrublet.n.01', '_hypernym', 'shrub.n.01']
|
73 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'city.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['utrecht.n.01', '_instance_hypernym', 'city.n.01']
|
74 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['chlorophyceae.n.01', '_hypernym', '<mask>', '_synset_domain_topic_of', 'biology.n.01', '_hypernym', 'life_science.n.01', '<mask>', 'biologist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['chlorophyceae.n.01', '_hypernym', 'class.n.07', '_synset_domain_topic_of', 'biology.n.01', '_hypernym', 'life_science.n.01', '_derivationally_related_form', 'biologist.n.01']
|
75 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['potomac.n.01', '_instance_hypernym', 'river.n.01', '_has_part', '<mask>', '_hypernym', 'body_of_water.n.01', '_synset_domain_topic_of', 'ocean.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['potomac.n.01', '_instance_hypernym', 'river.n.01', '_has_part', 'estuary.n.01', '_hypernym', 'body_of_water.n.01', '_synset_domain_topic_of', 'ocean.n.01']
|
76 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', 'interior_designer.n.01', '_hypernym', 'specialist.n.01', '<mask>', '<mask>', '_derivationally_related_form', 'specialist.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['eames.n.01', '_instance_hypernym', 'interior_designer.n.01', '_hypernym', 'specialist.n.01', '_derivationally_related_form', 'specialism.n.01', '_derivationally_related_form', 'specialist.n.02']
|
77 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['idolizer.n.01', '<mask>', 'lover.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['idolizer.n.01', '_hypernym', 'lover.n.01']
|
78 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['fault_line.n.01', '<mask>', '<mask>', '_hypernym', 'earth_science.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['fault_line.n.01', '_synset_domain_topic_of', 'geology.n.01', '_hypernym', 'earth_science.n.01']
|
79 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', '<mask>', '_has_part', 'hinge.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['front_door.n.01', '_hypernym', 'exterior_door.n.01', '_has_part', 'hinge.n.01', '_hypernym', 'joint.n.05']
|
80 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['hostile.n.01', '<mask>', 'military_personnel.n.01', '_synset_domain_topic_of', 'military.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['hostile.n.01', '_hypernym', 'military_personnel.n.01', '_synset_domain_topic_of', 'military.n.01']
|
81 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['giardia.n.01', '<mask>', 'flagellate.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['giardia.n.01', '_hypernym', 'flagellate.n.01']
|
82 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['reversion.n.04', '<mask>', 'change_of_direction.n.01', '_hypernym', 'change.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['reversion.n.04', '_hypernym', 'change_of_direction.n.01', '_hypernym', 'change.n.03']
|
83 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', '<mask>', '<mask>', 'oscine.n.01', '_hypernym', '<mask>', '_hypernym', 'bird.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['wall_creeper.n.01', '_hypernym', 'creeper.n.03', '_hypernym', 'oscine.n.01', '_hypernym', 'passerine.n.01', '_hypernym', 'bird.n.01']
|
84 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['january.n.01', '_hypernym', '<mask>', '_hypernym', 'calendar_month.n.01', '_hypernym', 'time_period.n.01', '_hypernym', 'fundamental_quantity.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['january.n.01', '_hypernym', 'gregorian_calendar_month.n.01', '_hypernym', 'calendar_month.n.01', '_hypernym', 'time_period.n.01', '_hypernym', 'fundamental_quantity.n.01']
|
85 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['south_korea.n.01', '_has_part', '<mask>', '_instance_hypernym', 'city.n.01', '_has_part', '<mask>', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['south_korea.n.01', '_has_part', 'taegu.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'financial_center.n.01', '_hypernym', 'center.n.01']
|
86 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['bridge.n.05', '_hypernym', 'card_game.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['bridge.n.05', '_hypernym', 'card_game.n.01', '_has_part', 'shuffle.n.01']
|
87 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'anger.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['annoyance.n.02', '_hypernym', 'anger.n.01']
|
88 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['grape.n.01', '_hypernym', 'edible_fruit.n.01', '_has_part', '<mask>', '<mask>', 'rind.n.01', '<mask>', 'material.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['grape.n.01', '_hypernym', 'edible_fruit.n.01', '_has_part', 'peel.n.02', '_hypernym', 'rind.n.01', '_hypernym', 'material.n.01']
|
89 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_instance_hypernym', '<mask>', '_has_part', 'medical_center.n.01', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['maracaibo.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '_hypernym', 'center.n.01']
|
90 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', '<mask>', '_hypernym', 'herb.n.01', '_has_part', '<mask>', '<mask>', 'produce.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['bamboo.n.02', '_hypernym', 'gramineous_plant.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']
|
91 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['anhimidae.n.01', '<mask>', 'bird_family.n.01', '_hypernym', 'family.n.06', '_member_meronym', '<mask>', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['anhimidae.n.01', '_hypernym', 'bird_family.n.01', '_hypernym', 'family.n.06', '_member_meronym', 'arenaviridae.n.01', '_member_meronym', 'arenavirus.n.01']
|
92 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'sandpiper.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['upland_sandpiper.n.01', '_hypernym', 'sandpiper.n.01']
|
93 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['tarabulus.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '_hypernym', 'center.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['tarabulus.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'medical_center.n.01', '_hypernym', 'center.n.01', '_hypernym', 'area.n.01']
|
94 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['bromo-seltzer.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['bromo-seltzer.n.01', '_hypernym', 'antacid.n.01']
|
95 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['atlantic_salmon.n.02', '<mask>', 'salmon.n.01', '_has_part', 'salmon.n.03', '_hypernym', 'fish.n.02', '_hypernym', 'food.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['atlantic_salmon.n.02', '_hypernym', 'salmon.n.01', '_has_part', 'salmon.n.03', '_hypernym', 'fish.n.02', '_hypernym', 'food.n.02']
|
96 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['side.n.05', '_hypernym', '<mask>', '_hypernym', 'artifact.n.01', '_hypernym', '<mask>', '<mask>', 'part.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['side.n.05', '_hypernym', 'surface.n.01', '_hypernym', 'artifact.n.01', '_hypernym', 'whole.n.02', '_has_part', 'part.n.02']
|
97 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['<mask>', '_hypernym', 'clergyman.n.01', '<mask>', 'spiritual_leader.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['archdeacon.n.01', '_hypernym', 'clergyman.n.01', '_hypernym', 'spiritual_leader.n.01', '_hypernym', 'leader.n.01']
|
98 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['phytolaccaceae.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['phytolaccaceae.n.01', '_hypernym', 'caryophylloid_dicot_family.n.01', '_hypernym', 'dicot_family.n.01']
|
99 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in the wordnet database. You can predict the correct relations or entities in a wordnet 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 wordnet knowledge graph. Do not include any extra text. ['juror.n.01', '_hypernym', 'panelist.n.01', '_derivationally_related_form', 'panel.n.04', '_hypernym', 'body.n.02', '<mask>', 'social_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['juror.n.01', '_hypernym', 'panelist.n.01', '_derivationally_related_form', 'panel.n.04', '_hypernym', 'body.n.02', '_hypernym', 'social_group.n.01']
|
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