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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'] |