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200 |
<|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. ['negaprion.n.01', '_hypernym', '<mask>', '_hypernym', 'genus.n.02', '<mask>', 'biology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['negaprion.n.01', '_hypernym', 'fish_genus.n.01', '_hypernym', 'genus.n.02', '_synset_domain_topic_of', 'biology.n.01']
|
201 |
<|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', 'bulge.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['mogul.n.01', '_hypernym', 'bulge.n.01']
|
202 |
<|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>', 'scorpaenoid.n.01', '<mask>', 'spiny-finned_fish.n.01', '<mask>', 'teleost_fish.n.01', '_hypernym', 'bony_fish.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['lingcod.n.02', '_hypernym', 'scorpaenoid.n.01', '_hypernym', 'spiny-finned_fish.n.01', '_hypernym', 'teleost_fish.n.01', '_hypernym', 'bony_fish.n.01']
|
203 |
<|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. ['bubonic_plague.n.01', '<mask>', 'plague.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['bubonic_plague.n.01', '_hypernym', 'plague.n.01']
|
204 |
<|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. ['craft.n.03', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['craft.n.03', '_hypernym', 'class.n.03']
|
205 |
<|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. ['platform.n.02', '<mask>', 'document.n.01', '_has_part', 'article.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['platform.n.02', '_hypernym', 'document.n.01', '_has_part', 'article.n.03']
|
206 |
<|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. ['limousine.n.01', '<mask>', 'car.n.01', '_has_part', 'sunroof.n.01', '<mask>', 'roof.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['limousine.n.01', '_hypernym', 'car.n.01', '_has_part', 'sunroof.n.01', '_hypernym', 'roof.n.01']
|
207 |
<|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. ['cheek.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['cheek.n.01', '_hypernym', 'feature.n.02']
|
208 |
<|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', 'songwriter.n.01', '_hypernym', '<mask>', '_hypernym', 'musician.n.02', '_derivationally_related_form', 'music.n.04'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['simon.n.02', '_instance_hypernym', 'songwriter.n.01', '_hypernym', 'composer.n.01', '_hypernym', 'musician.n.02', '_derivationally_related_form', 'music.n.04']
|
209 |
<|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. ['dramaturgy.n.01', '<mask>', 'dramatic_composition.n.01', '_has_part', 'prologue.n.01', '<mask>', 'introduction.n.02', '_hypernym', 'section.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['dramaturgy.n.01', '_has_part', 'dramatic_composition.n.01', '_has_part', 'prologue.n.01', '_hypernym', 'introduction.n.02', '_hypernym', 'section.n.01']
|
210 |
<|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. ['predictor.n.03', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['predictor.n.03', '_hypernym', 'computer.n.01']
|
211 |
<|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>', 'person.n.01', '_hypernym', 'causal_agent.n.01', '_hypernym', 'physical_entity.n.01', '<mask>', 'entity.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['adoptee.n.01', '_hypernym', 'person.n.01', '_hypernym', 'causal_agent.n.01', '_hypernym', 'physical_entity.n.01', '_hypernym', 'entity.n.01']
|
212 |
<|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. ['vedalia.n.01', '<mask>', 'ladybug.n.01', '_hypernym', 'beetle.n.01', '_hypernym', 'insect.n.01', '_hypernym', 'arthropod.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['vedalia.n.01', '_hypernym', 'ladybug.n.01', '_hypernym', 'beetle.n.01', '_hypernym', 'insect.n.01', '_hypernym', 'arthropod.n.01']
|
213 |
<|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', 'plain.n.01', '<mask>', 'land.n.04'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['flat.n.01', '_hypernym', 'plain.n.01', '_hypernym', 'land.n.04']
|
214 |
<|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', 'revival.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['rebirth.n.03', '_hypernym', 'revival.n.01']
|
215 |
<|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', 'power.n.01', '<mask>', 'quality.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['control.n.01', '_hypernym', 'power.n.01', '_hypernym', 'quality.n.01']
|
216 |
<|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. ['mouse-ear_chickweed.n.01', '<mask>', 'herb.n.01', '<mask>', 'vegetable.n.01', '_hypernym', '<mask>', '<mask>', 'food.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['mouse-ear_chickweed.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01', '_hypernym', 'food.n.02']
|
217 |
<|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', 'crustacean.n.01', '<mask>', 'claw.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['branchiopod_crustacean.n.01', '_hypernym', 'crustacean.n.01', '_has_part', 'claw.n.03']
|
218 |
<|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. ['allied_command_atlantic.n.01', '_member_meronym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['allied_command_atlantic.n.01', '_member_meronym', 'supreme_allied_commander_atlantic.n.01']
|
219 |
<|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', 'austronesian.n.02', '_hypernym', 'natural_language.n.01', '<mask>', 'language.n.01', '_hypernym', 'communication.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['malayo-polynesian.n.01', '_hypernym', 'austronesian.n.02', '_hypernym', 'natural_language.n.01', '_hypernym', 'language.n.01', '_hypernym', 'communication.n.02']
|
220 |
<|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. ['genus_reseda.n.01', '_member_meronym', 'reseda.n.01', '<mask>', 'herb.n.01', '<mask>', 'vegetable.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['genus_reseda.n.01', '_member_meronym', 'reseda.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']
|
221 |
<|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. ['megaptera.n.01', '_hypernym', 'mammal_genus.n.01', '_hypernym', 'genus.n.02', '<mask>', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['megaptera.n.01', '_hypernym', 'mammal_genus.n.01', '_hypernym', 'genus.n.02', '_hypernym', 'taxonomic_group.n.01', '_hypernym', 'biological_group.n.01']
|
222 |
<|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', 'patriotism.n.01', '_hypernym', 'loyalty.n.01', '_hypernym', 'fidelity.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['patriot.n.01', '_derivationally_related_form', 'patriotism.n.01', '_hypernym', 'loyalty.n.01', '_hypernym', 'fidelity.n.02']
|
223 |
<|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. ['hotel_detective.n.01', '_hypernym', '<mask>', '_hypernym', 'detective.n.02', '_hypernym', 'investigator.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['hotel_detective.n.01', '_hypernym', 'private_detective.n.01', '_hypernym', 'detective.n.02', '_hypernym', 'investigator.n.02']
|
224 |
<|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', 'rattlesnake.n.01', '_has_part', 'rattle.n.03', '_derivationally_related_form', 'cut.n.18', '_derivationally_related_form', 'rattle.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['prairie_rattlesnake.n.01', '_hypernym', 'rattlesnake.n.01', '_has_part', 'rattle.n.03', '_derivationally_related_form', 'cut.n.18', '_derivationally_related_form', 'rattle.n.03']
|
225 |
<|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. ['mimosoideae.n.01', '_member_meronym', '<mask>', '_hypernym', 'rosid_dicot_genus.n.01', '<mask>', 'dicot_genus.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['mimosoideae.n.01', '_member_meronym', 'genus_acacia.n.01', '_hypernym', 'rosid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02']
|
226 |
<|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. ['wading_bird.n.01', '_hypernym', 'aquatic_bird.n.01', '<mask>', 'bird.n.01', '_has_part', '<mask>', '_hypernym', 'structure.n.04'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['wading_bird.n.01', '_hypernym', 'aquatic_bird.n.01', '_hypernym', 'bird.n.01', '_has_part', 'syrinx.n.02', '_hypernym', 'structure.n.04']
|
227 |
<|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', 'fungus.n.01', '_hypernym', 'organism.n.01', '<mask>', 'body_part.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['ascomycete.n.01', '_hypernym', 'fungus.n.01', '_hypernym', 'organism.n.01', '_has_part', 'body_part.n.01', '_hypernym', 'part.n.03']
|
228 |
<|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', 'genus.n.02', '<mask>', 'biology.n.01', '_derivationally_related_form', 'biologist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['pristis.n.01', '_hypernym', 'fish_genus.n.01', '_hypernym', 'genus.n.02', '_synset_domain_topic_of', 'biology.n.01', '_derivationally_related_form', 'biologist.n.01']
|
229 |
<|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. ['fiber-optic_transmission_system.n.01', '_hypernym', '<mask>', '_has_part', 'communications_satellite.n.01', '_hypernym', 'satellite.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['fiber-optic_transmission_system.n.01', '_hypernym', 'communication_system.n.02', '_has_part', 'communications_satellite.n.01', '_hypernym', 'satellite.n.01']
|
230 |
<|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. ['flurbiprofen.n.01', '_hypernym', 'nonsteroidal_anti-inflammatory.n.01', '_hypernym', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['flurbiprofen.n.01', '_hypernym', 'nonsteroidal_anti-inflammatory.n.01', '_hypernym', 'anti-inflammatory.n.01', '_hypernym', 'medicine.n.02']
|
231 |
<|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. ['carpinaceae.n.01', '_hypernym', 'hamamelid_dicot_family.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['carpinaceae.n.01', '_hypernym', 'hamamelid_dicot_family.n.01', '_hypernym', 'dicot_family.n.01']
|
232 |
<|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>', 'elasticity.n.01', '_hypernym', 'physical_property.n.01', '_hypernym', 'property.n.02', '_hypernym', 'attribute.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['give.n.01', '_hypernym', 'elasticity.n.01', '_hypernym', 'physical_property.n.01', '_hypernym', 'property.n.02', '_hypernym', 'attribute.n.02']
|
233 |
<|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', 'measuring_instrument.n.01', '_hypernym', 'instrument.n.01', '<mask>', 'device.n.01', '_hypernym', 'instrumentality.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['inclinometer.n.02', '_hypernym', 'measuring_instrument.n.01', '_hypernym', 'instrument.n.01', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03']
|
234 |
<|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. ['keystone.n.02', '_hypernym', '<mask>', '_hypernym', 'building_material.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['keystone.n.02', '_hypernym', 'building_block.n.02', '_hypernym', 'building_material.n.01']
|
235 |
<|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', 'falsehood.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['contradiction.n.02', '_hypernym', 'falsehood.n.01']
|
236 |
<|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. ['clinch.n.03', '<mask>', 'fastener.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['clinch.n.03', '_hypernym', 'fastener.n.02']
|
237 |
<|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. ['desiccant.n.01', '_hypernym', 'chemical_agent.n.01', '_hypernym', 'agent.n.03', '<mask>', 'causal_agent.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['desiccant.n.01', '_hypernym', 'chemical_agent.n.01', '_hypernym', 'agent.n.03', '_hypernym', 'causal_agent.n.01']
|
238 |
<|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. ['powderer.n.01', '_hypernym', '<mask>', '_has_part', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['powderer.n.01', '_hypernym', 'person.n.01', '_has_part', 'human_body.n.01']
|
239 |
<|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>', '<mask>', '_hypernym', 'sweet.n.03', '<mask>', 'dainty.n.01', '_hypernym', 'nutriment.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['caramel.n.01', '_hypernym', 'candy.n.01', '_hypernym', 'sweet.n.03', '_hypernym', 'dainty.n.01', '_hypernym', 'nutriment.n.01']
|
240 |
<|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. ['beauty.n.01', '<mask>', 'appearance.n.01', '<mask>', 'quality.n.01', '_hypernym', '<mask>', '<mask>', 'abstraction.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['beauty.n.01', '_hypernym', 'appearance.n.01', '_hypernym', 'quality.n.01', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06']
|
241 |
<|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', 'geographical_area.n.01', '_hypernym', '<mask>', '_hypernym', 'location.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['galicia.n.01', '_instance_hypernym', 'geographical_area.n.01', '_hypernym', 'region.n.03', '_hypernym', 'location.n.01']
|
242 |
<|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. ['plaint.n.01', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['plaint.n.01', '_hypernym', 'allegation.n.01', '_hypernym', 'accusation.n.01']
|
243 |
<|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. ['fullerene.n.01', '_synset_domain_topic_of', 'chemistry.n.01', '_derivationally_related_form', '<mask>', '_derivationally_related_form', 'drug.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['fullerene.n.01', '_synset_domain_topic_of', 'chemistry.n.01', '_derivationally_related_form', 'pharmacist.n.01', '_derivationally_related_form', 'drug.n.01']
|
244 |
<|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. ['autumnal_equinox.n.01', '<mask>', 'equinox.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['autumnal_equinox.n.01', '_hypernym', 'equinox.n.01']
|
245 |
<|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. ['textile_machine.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['textile_machine.n.01', '_hypernym', 'machine.n.01']
|
246 |
<|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', 'condition.n.03', '_hypernym', 'state.n.02', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['fortune.n.04', '_hypernym', 'condition.n.03', '_hypernym', 'state.n.02', '_hypernym', 'attribute.n.02', '_hypernym', 'abstraction.n.06']
|
247 |
<|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. ['nephritis.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['nephritis.n.01', '_hypernym', 'kidney_disease.n.01']
|
248 |
<|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. ['black_birch.n.02', '<mask>', '<mask>', '_hypernym', 'tree.n.01', '_has_part', 'stump.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['black_birch.n.02', '_hypernym', 'birch.n.02', '_hypernym', 'tree.n.01', '_has_part', 'stump.n.01', '_hypernym', 'plant_part.n.01']
|
249 |
<|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. ['nymphalidae.n.01', '_member_meronym', 'limenitis.n.01', '_member_meronym', '<mask>', '_hypernym', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['nymphalidae.n.01', '_member_meronym', 'limenitis.n.01', '_member_meronym', 'white_admiral.n.02', '_hypernym', 'nymphalid.n.01', '_hypernym', 'butterfly.n.01']
|
250 |
<|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', 'preservation.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['conservation.n.02', '_hypernym', 'preservation.n.01']
|
251 |
<|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>', '<mask>', '<mask>', 'tree.n.01', '_has_part', 'stump.n.01', '_hypernym', 'plant_part.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['catechu.n.02', '_hypernym', 'acacia.n.01', '_hypernym', 'tree.n.01', '_has_part', 'stump.n.01', '_hypernym', 'plant_part.n.01']
|
252 |
<|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. ['medic.n.01', '<mask>', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['medic.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01', '_hypernym', 'produce.n.01']
|
253 |
<|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', 'graph.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['ballistocardiogram.n.01', '_hypernym', 'graph.n.01']
|
254 |
<|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', 'apostle.n.03', '_hypernym', 'christian.n.01', '_derivationally_related_form', 'christendom.n.01', '_derivationally_related_form', 'christian.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['jude.n.01', '_instance_hypernym', 'apostle.n.03', '_hypernym', 'christian.n.01', '_derivationally_related_form', 'christendom.n.01', '_derivationally_related_form', 'christian.n.01']
|
255 |
<|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. ['field_hockey.n.01', '_hypernym', 'field_game.n.01', '_hypernym', 'outdoor_game.n.01', '_hypernym', '<mask>', '_has_part', 'regulation_time.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['field_hockey.n.01', '_hypernym', 'field_game.n.01', '_hypernym', 'outdoor_game.n.01', '_hypernym', 'athletic_game.n.01', '_has_part', 'regulation_time.n.01']
|
256 |
<|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. ['massasauga.n.02', '<mask>', 'rattlesnake.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['massasauga.n.02', '_hypernym', 'rattlesnake.n.01']
|
257 |
<|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. ['inachis.n.01', '<mask>', 'peacock.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['inachis.n.01', '_member_meronym', 'peacock.n.01']
|
258 |
<|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. ['electroconvulsive_therapy.n.01', '_hypernym', 'electrotherapy.n.01', '_hypernym', 'therapy.n.01', '<mask>', 'medical_care.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['electroconvulsive_therapy.n.01', '_hypernym', 'electrotherapy.n.01', '_hypernym', 'therapy.n.01', '_hypernym', 'medical_care.n.01', '_hypernym', 'treatment.n.01']
|
259 |
<|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. ['soliton.n.01', '_hypernym', '<mask>', '_hypernym', 'wave.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['soliton.n.01', '_hypernym', 'traveling_wave.n.01', '_hypernym', 'wave.n.03']
|
260 |
<|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. ['ayrshire.n.01', '_hypernym', 'dairy_cattle.n.01', '_hypernym', 'cattle.n.01', '_member_meronym', 'calf.n.01', '<mask>', 'young_mammal.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['ayrshire.n.01', '_hypernym', 'dairy_cattle.n.01', '_hypernym', 'cattle.n.01', '_member_meronym', 'calf.n.01', '_hypernym', 'young_mammal.n.01']
|
261 |
<|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. ['lawyer.n.01', '_derivationally_related_form', '<mask>', '<mask>', '<mask>', '_hypernym', 'occupation.n.01', '<mask>', 'activity.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['lawyer.n.01', '_derivationally_related_form', 'attorneyship.n.01', '_hypernym', 'position.n.06', '_hypernym', 'occupation.n.01', '_hypernym', 'activity.n.01']
|
262 |
<|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. ['coast_boykinia.n.01', '_hypernym', 'wildflower.n.01', '<mask>', 'angiosperm.n.01', '_has_part', 'flower.n.02', '_has_part', 'carpel.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['coast_boykinia.n.01', '_hypernym', 'wildflower.n.01', '_hypernym', 'angiosperm.n.01', '_has_part', 'flower.n.02', '_has_part', 'carpel.n.01']
|
263 |
<|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. ['evacuation.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['evacuation.n.02', '_hypernym', 'withdrawal.n.03']
|
264 |
<|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. ['sewage_system.n.01', '_hypernym', 'facility.n.01', '<mask>', 'artifact.n.01', '_hypernym', 'whole.n.02', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['sewage_system.n.01', '_hypernym', 'facility.n.01', '_hypernym', 'artifact.n.01', '_hypernym', 'whole.n.02', '_hypernym', 'object.n.01']
|
265 |
<|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. ['captivation.n.02', '_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['captivation.n.02', '_hypernym', 'liking.n.01', '_hypernym', 'feeling.n.01']
|
266 |
<|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. ['ecstasy.n.02', '_hypernym', 'bliss.n.01', '<mask>', 'elation.n.01', '_hypernym', 'psychological_state.n.01', '_synset_domain_topic_of', 'psychology.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['ecstasy.n.02', '_hypernym', 'bliss.n.01', '_hypernym', 'elation.n.01', '_hypernym', 'psychological_state.n.01', '_synset_domain_topic_of', 'psychology.n.01']
|
267 |
<|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. ['department.n.01', '<mask>', 'division.n.04', '<mask>', 'administrative_unit.n.01', '_hypernym', 'unit.n.03', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['department.n.01', '_hypernym', 'division.n.04', '_hypernym', 'administrative_unit.n.01', '_hypernym', 'unit.n.03', '_hypernym', 'organization.n.01']
|
268 |
<|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. ['kyzyl_kum.n.01', '_instance_hypernym', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['kyzyl_kum.n.01', '_instance_hypernym', 'desert.n.01', '_hypernym', 'tract.n.01']
|
269 |
<|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. ['golden_polypody.n.01', '_hypernym', '<mask>', '_hypernym', 'pteridophyte.n.01', '_hypernym', 'vascular_plant.n.01', '<mask>', 'vascular_system.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['golden_polypody.n.01', '_hypernym', 'fern.n.01', '_hypernym', 'pteridophyte.n.01', '_hypernym', 'vascular_plant.n.01', '_has_part', 'vascular_system.n.01']
|
270 |
<|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. ['swimming_meet.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['swimming_meet.n.01', '_hypernym', 'meet.n.01']
|
271 |
<|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. ['song_thrush.n.01', '_hypernym', 'thrush.n.03', '_hypernym', '<mask>', '_hypernym', 'passerine.n.01', '<mask>', 'bird.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['song_thrush.n.01', '_hypernym', 'thrush.n.03', '_hypernym', 'oscine.n.01', '_hypernym', 'passerine.n.01', '_hypernym', 'bird.n.01']
|
272 |
<|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. ['shrewdness.n.01', '_hypernym', 'intelligence.n.01', '_hypernym', 'ability.n.02', '<mask>', 'entity.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['shrewdness.n.01', '_hypernym', 'intelligence.n.01', '_hypernym', 'ability.n.02', '_derivationally_related_form', 'entity.n.01']
|
273 |
<|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', 'membrane.n.02', '_hypernym', 'animal_tissue.n.01', '<mask>', '<mask>', '_hypernym', 'body_part.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['meninx.n.01', '_hypernym', 'membrane.n.02', '_hypernym', 'animal_tissue.n.01', '_hypernym', 'tissue.n.01', '_hypernym', 'body_part.n.01']
|
274 |
<|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. ['opposition.n.02', '_hypernym', 'relation.n.01', '_derivationally_related_form', '<mask>', '<mask>', '<mask>', '_derivationally_related_form', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['opposition.n.02', '_hypernym', 'relation.n.01', '_derivationally_related_form', 'kinship.n.02', '_derivationally_related_form', 'relation.n.01', '_derivationally_related_form', 'kinship.n.02']
|
275 |
<|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', 'detonator.n.01', '_hypernym', 'explosive_device.n.01', '_hypernym', '<mask>', '<mask>', 'instrumentality.n.03'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['blasting_cap.n.01', '_hypernym', 'detonator.n.01', '_hypernym', 'explosive_device.n.01', '_hypernym', 'device.n.01', '_hypernym', 'instrumentality.n.03']
|
276 |
<|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', 'elimination.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['defecation.n.01', '_hypernym', 'elimination.n.02']
|
277 |
<|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', '<mask>', '<mask>', 'gyrostabilizer.n.01', '_has_part', 'gyroscope.n.01', '_hypernym', 'rotating_mechanism.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['harborage.n.01', '_synset_domain_topic_of', 'ship.n.01', '_has_part', 'gyrostabilizer.n.01', '_has_part', 'gyroscope.n.01', '_hypernym', 'rotating_mechanism.n.01']
|
278 |
<|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. ['dekko.n.01', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['dekko.n.01', '_hypernym', 'look.n.02']
|
279 |
<|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. ['monotremata.n.01', '<mask>', 'ornithorhynchidae.n.01', '_member_meronym', 'ornithorhynchus.n.01', '_member_meronym', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['monotremata.n.01', '_member_meronym', 'ornithorhynchidae.n.01', '_member_meronym', 'ornithorhynchus.n.01', '_member_meronym', 'platypus.n.01', '_hypernym', 'monotreme.n.01']
|
280 |
<|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. ['write-off.n.01', '_synset_domain_topic_of', 'accounting.n.02', '_hypernym', '<mask>', '<mask>', '<mask>', '_hypernym', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['write-off.n.01', '_synset_domain_topic_of', 'accounting.n.02', '_hypernym', 'system.n.04', '_hypernym', 'method.n.01', '_hypernym', 'know-how.n.01']
|
281 |
<|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. ['stenosis.n.01', '_hypernym', 'pathology.n.02', '_derivationally_related_form', 'diagnostician.n.01', '_hypernym', 'specialist.n.02', '<mask>', 'specialism.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['stenosis.n.01', '_hypernym', 'pathology.n.02', '_derivationally_related_form', 'diagnostician.n.01', '_hypernym', 'specialist.n.02', '_derivationally_related_form', 'specialism.n.01']
|
282 |
<|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', 'car.n.01', '_derivationally_related_form', 'machinist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['jeep.n.01', '_hypernym', 'car.n.01', '_derivationally_related_form', 'machinist.n.01']
|
283 |
<|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. ['saxifraga.n.01', '_member_meronym', '<mask>', '_hypernym', 'saxifrage.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['saxifraga.n.01', '_member_meronym', 'mossy_saxifrage.n.01', '_hypernym', 'saxifrage.n.01', '_hypernym', 'herb.n.01', '_has_part', 'vegetable.n.01']
|
284 |
<|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', 'marketplace.n.02', '<mask>', 'mercantile_establishment.n.01', '_hypernym', 'place_of_business.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['slave_market.n.01', '_hypernym', 'marketplace.n.02', '_hypernym', 'mercantile_establishment.n.01', '_hypernym', 'place_of_business.n.01', '_hypernym', 'establishment.n.04']
|
285 |
<|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. ['winter_squash.n.01', '<mask>', 'squash.n.01', '<mask>', 'vine.n.01', '<mask>', '<mask>', '_hypernym', 'plant.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['winter_squash.n.01', '_hypernym', 'squash.n.01', '_hypernym', 'vine.n.01', '_hypernym', 'vascular_plant.n.01', '_hypernym', 'plant.n.02']
|
286 |
<|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. ['guardianship.n.02', '<mask>', 'duty.n.01', '_hypernym', 'social_control.n.01', '<mask>', 'group_action.n.01', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['guardianship.n.02', '_hypernym', 'duty.n.01', '_hypernym', 'social_control.n.01', '_hypernym', 'group_action.n.01', '_hypernym', 'act.n.02']
|
287 |
<|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', 'bleeding.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['cerebral_hemorrhage.n.01', '_hypernym', 'bleeding.n.01']
|
288 |
<|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>', '<mask>', '_synset_domain_topic_of', 'computer.n.01', '_has_part', '<mask>', '_synset_domain_topic_of', 'computer_science.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['high-level_formatting.n.01', '_hypernym', 'format.n.01', '_synset_domain_topic_of', 'computer.n.01', '_has_part', 'peripheral.n.01', '_synset_domain_topic_of', 'computer_science.n.01']
|
289 |
<|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', 'city_center.n.01', '_hypernym', 'center.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['cape_town.n.01', '_instance_hypernym', 'city.n.01', '_has_part', 'city_center.n.01', '_hypernym', 'center.n.01']
|
290 |
<|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. ['accountant.n.01', '_hypernym', 'businessperson.n.01', '<mask>', '<mask>', '_synset_domain_topic_of', 'commercial_enterprise.n.02', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['accountant.n.01', '_hypernym', 'businessperson.n.01', '_hypernym', 'capitalist.n.02', '_synset_domain_topic_of', 'commercial_enterprise.n.02', '_has_part', 'business_activity.n.01']
|
291 |
<|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>', 'australian.n.01', '_hypernym', 'inhabitant.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['aborigine.n.02', '_hypernym', 'australian.n.01', '_hypernym', 'inhabitant.n.01']
|
292 |
<|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', 'woody_plant.n.01', '<mask>', 'vascular_plant.n.01', '_has_part', 'vascular_system.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['flowering_quince.n.01', '_hypernym', 'shrub.n.01', '_hypernym', 'woody_plant.n.01', '_hypernym', 'vascular_plant.n.01', '_has_part', 'vascular_system.n.01']
|
293 |
<|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. ['scandinavian_country.n.01', '_hypernym', 'european_country.n.01', '_hypernym', 'country.n.02', '<mask>', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['scandinavian_country.n.01', '_hypernym', 'european_country.n.01', '_hypernym', 'country.n.02', '_hypernym', 'administrative_district.n.01', '_hypernym', 'district.n.01']
|
294 |
<|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. ['chitchat.n.01', '<mask>', 'chat.n.01', '<mask>', 'conversation.n.01', '_derivationally_related_form', 'conversationalist.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['chitchat.n.01', '_hypernym', 'chat.n.01', '_hypernym', 'conversation.n.01', '_derivationally_related_form', 'conversationalist.n.01']
|
295 |
<|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. ['title.n.06', '_hypernym', '<mask>', '_hypernym', 'name.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['title.n.06', '_hypernym', 'appellation.n.01', '_hypernym', 'name.n.01']
|
296 |
<|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>', 'asterid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '<mask>', 'species.n.01'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['ajuga.n.01', '_hypernym', 'asterid_dicot_genus.n.01', '_hypernym', 'dicot_genus.n.01', '_hypernym', 'genus.n.02', '_member_meronym', 'species.n.01']
|
297 |
<|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. ['pulmonata.n.01', '_member_meronym', 'helicidae.n.01', '<mask>', 'mollusk_family.n.01', '_hypernym', 'family.n.06', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['pulmonata.n.01', '_member_meronym', 'helicidae.n.01', '_hypernym', 'mollusk_family.n.01', '_hypernym', 'family.n.06', '_member_meronym', 'rhabdoviridae.n.01']
|
298 |
<|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', 'test.n.02'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['intelligence_test.n.01', '_hypernym', 'test.n.02']
|
299 |
<|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. ['crop-dusting.n.01', '_hypernym', 'dispersion.n.03', '<mask>', 'spread.n.10'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
['crop-dusting.n.01', '_hypernym', 'dispersion.n.03', '_hypernym', 'spread.n.10']
|
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