triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 11 15 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.29k | query stringlengths 89 171 | entity_a stringlengths 4 21 | entity_b stringlengths 6 33 | rel_b stringlengths 7 28 | prompt stringlengths 3.56k 3.66k | index int64 160 179 | raw_responses stringlengths 1.32k 4.07k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q601776",
"P54",
"Q128109"
] | [
"Q16150000",
"P54",
"Q128109"
] | [
"Q16150000",
"P69",
"Q1466001"
] | [
"Antonio Davis",
"member of sports team",
"Chicago Bulls"
] | [
"Ryan Arcidiacono",
"member of sports team",
"Chicago Bulls"
] | [
"Ryan Arcidiacono",
"educated at",
"Villanova University"
] | Q128109__P54 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Antonio Davis, the former NBA player, and someone who was educated at Villanova University? | Antonio Davis | Villanova University | educated at | Query: What are different ways of connecting Antonio Davis, the former NBA player, and someone who was educated at Villanova University?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | 160 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Antonio Davis\",\n \"teammate of\",\n \"Alvin Williams\"\n ],\n [\n \"Alvin Williams\",\n \"educated at\",\n \"Villanova University\"\n ]\n ],\n \"2\": [\n [\n \"Antonio Davis\",\n \"teammate of\",\n \"Micha... |
[
"Q2745322",
"P2293",
"Q11081"
] | [
"Q414043",
"P2293",
"Q11081"
] | [
"Q414043",
"P2548",
"Q22809711"
] | [
"STK11",
"genetic association",
"Alzheimer's disease"
] | [
"RELN",
"genetic association",
"Alzheimer's disease"
] | [
"RELN",
"strand orientation",
"reverse strand"
] | Q11081__P2293 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting STK11, a gene associated with certain cancers, and a substance that has a reverse strand orientation? | STK11 | reverse strand | strand orientation | Query: What are different ways of connecting STK11, a gene associated with certain cancers, and a substance that has a reverse strand orientation?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) f... | 161 | {"final_response": "<answer>\n{\n \"1\": [\n [\"STK11\", \"interacts with\", \"TP53\"],\n [\"TP53\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\": [\n [\"STK11\", \"associated disease\", \"Lung cancer\"],\n [\"Lung cancer\", \"associated gene\", \"KRAS\"],\n [\"KRAS\", \"strand orientation... |
[
"Q1058",
"P39",
"Q192711"
] | [
"Q377870",
"P39",
"Q192711"
] | [
"Q377870",
"P19",
"Q557875"
] | [
"Narendra Modi",
"position held",
"Prime Minister of India"
] | [
"H. D. Deve Gowda",
"position held",
"Prime Minister of India"
] | [
"H. D. Deve Gowda",
"place of birth",
"Haradanahalli"
] | Q192711__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Narendra Modi, the Prime Minister of India, and someone who was born in Haradanahalli? | Narendra Modi | Haradanahalli | place of birth | Query: What are different ways of connecting Narendra Modi, the Prime Minister of India, and someone who was born in Haradanahalli?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a contin... | 162 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Narendra Modi\", \"holds office\", \"Prime Minister of India\"],\n [\"Prime Minister of India\", \"held by\", \"H. D. Deve Gowda\"],\n [\"H. D. Deve Gowda\", \"place of birth\", \"Haradanahalli\"]\n ],\n \"2\": [\n [\"Narendra Modi\", \"chairperson of\", \"... |
[
"Q104898484",
"P58",
"Q89448737"
] | [
"Q104898484",
"P58",
"Q95094229"
] | [
"Q95094229",
"P106",
"Q3391743"
] | [
"Hungry Bear Tales",
"screenwriter",
"Tomáš Končinský"
] | [
"Hungry Bear Tales",
"screenwriter",
"Alexandra Májová"
] | [
"Alexandra Májová",
"occupation",
"visual artist"
] | Q104898484__P58 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Tomáš Končinský and someone who is a visual artist? | Tomáš Končinský | visual artist | occupation | Query: What are different ways of connecting Tomáš Končinský and someone who is a visual artist?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with one ent... | 163 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Tom\u00e1\u0161 Kon\u010dinsk\u00fd\", \"co-authored\", \"P\u0159eklep a \u0160kraloup\"],\n [\"P\u0159eklep a \u0160kraloup\", \"illustrated by\", \"Daniel \u0160pa\u010dek\"],\n [\"Daniel \u0160pa\u010dek\", \"occupation\", \"visual artist\"]\n ],\n \"2\": [... |
[
"Q50737052",
"P161",
"Q147235"
] | [
"Q2347123",
"P161",
"Q147235"
] | [
"Q147235",
"P106",
"Q2405480"
] | [
"K.T. Tatara",
"cast member",
"How I Met Your Mother"
] | [
"Steve Little",
"cast member",
"How I Met Your Mother"
] | [
"How I Met Your Mother",
"occupation",
"voice actor"
] | Q147235__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting "How I Met Your Mother," the popular television show, and someone who has worked as a voice actor in the same series? | How I Met Your Mother | voice actor | occupation | Query: What are different ways of connecting "How I Met Your Mother," the popular television show, and someone who has worked as a voice actor in the same series?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relat... | 164 | {"final_response": "<answer>\n{\n \"1\": [\n [\"How I Met Your Mother\", \"cast member\", \"Neil Patrick Harris\"],\n [\"Neil Patrick Harris\", \"occupation\", \"voice actor\"]\n ],\n \"2\": [\n [\"How I Met Your Mother\", \"cast member\", \"Alyson Hannigan\"],\n [\"Alyson Hannigan\", \"occupation\", \"v... |
[
"Q484048",
"P161",
"Q609514"
] | [
"Q484048",
"P161",
"Q2848938"
] | [
"Q2848938",
"P793",
"Q201676"
] | [
"Amélie",
"cast member",
"Urbain Cancelier"
] | [
"Amélie",
"cast member",
"Andrée Damant"
] | [
"Andrée Damant",
"significant event",
"funeral"
] | Q484048__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Urbain Cancelier and someone for whom the funeral was a significant event? | Urbain Cancelier | funeral | significant event | Query: What are different ways of connecting Urbain Cancelier and someone for whom the funeral was a significant event?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain t... | 165 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Urbain Cancelier\", \"acted in\", \"Am\u00e9lie\"],\n [\"Am\u00e9lie\", \"starred\", \"Audrey Tautou\"],\n [\"Audrey Tautou\", \"acted in\", \"The Da Vinci Code\"],\n [\"The Da Vinci Code\", \"starred\", \"Ian McKellen\"],\n [\"Ian McKellen\", \"k... |
[
"Q153723",
"P161",
"Q91050"
] | [
"Q153723",
"P161",
"Q230131"
] | [
"Q230131",
"P27",
"Q30"
] | [
"Inglourious Basterds",
"cast member",
"Sönke Möhring"
] | [
"Inglourious Basterds",
"cast member",
"Cloris Leachman"
] | [
"Cloris Leachman",
"country of citizenship",
"United States of America"
] | Q153723__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Sönke Möhring, the German actor, and someone who is a citizen of the United States of America? | Sönke Möhring | United States of America | country of citizenship | Query: What are different ways of connecting Sönke Möhring, the German actor, and someone who is a citizen of the United States of America?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming ... | 166 | {"final_response": "<answer>\n{\n \"1\": [\n [\"S\u00f6nke M\u00f6hring\", \"cast member of\", \"Inglourious Basterds\"],\n [\"Inglourious Basterds\", \"directed by\", \"Quentin Tarantino\"],\n [\"Quentin Tarantino\", \"country of citizenship\", \"United States of America\"]\n ],\n \"2\": [\n [\"S\u00f6n... |
[
"Q8753",
"P166",
"Q38104"
] | [
"Q70532",
"P166",
"Q38104"
] | [
"Q70532",
"P1066",
"Q2074134"
] | [
"Enrico Fermi",
"award received",
"Nobel Prize in Physics"
] | [
"Hans Georg Dehmelt",
"award received",
"Nobel Prize in Physics"
] | [
"Hans Georg Dehmelt",
"student of",
"Peter Brix"
] | Q38104__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Enrico Fermi, the renowned physicist, and someone who was a student of Hans Georg Dehmelt? | Enrico Fermi | Peter Brix | student of | Query: What are different ways of connecting Enrico Fermi, the renowned physicist, and someone who was a student of Hans Georg Dehmelt?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a co... | 167 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Enrico Fermi\", \"doctoral advisor of\", \"Jack Steinberger\"],\n [\"Jack Steinberger\", \"worked at\", \"CERN\"],\n [\"Achim Richter\", \"worked at\", \"CERN\"],\n [\"Achim Richter\", \"student of\", \"Peter Brix\"]\n ],\n \"2\": [\n [\"Enrico Fermi\", ... |
[
"Q1482940",
"P463",
"Q11890"
] | [
"Q692945",
"P463",
"Q11890"
] | [
"Q692945",
"P27",
"Q183"
] | [
"Rick McPhail",
"member of",
"Tocotronic"
] | [
"Arne Zank",
"member of",
"Tocotronic"
] | [
"Arne Zank",
"country of citizenship",
"Germany"
] | Q11890__P463 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Rick McPhail, a notable figure, and someone who is a citizen of Germany? | Rick McPhail | Germany | country of citizenship | Query: What are different ways of connecting Rick McPhail, a notable figure, and someone who is a citizen of Germany?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain tha... | 168 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Rick McPhail\", \"member of\", \"Tocotronic\"],\n [\"Tocotronic\", \"has member\", \"Dirk von Lowtzow\"],\n [\"Dirk von Lowtzow\", \"country of citizenship\", \"Germany\"]\n ],\n \"2\": [\n [\"Rick McPhail\", \"member of\", \"Tocotronic\"],\n [\"Tocotron... |
[
"Q313505",
"P463",
"Q42482"
] | [
"Q20156166",
"P463",
"Q42482"
] | [
"Q20156166",
"P1303",
"Q6607"
] | [
"Paul Di'Anno",
"member of",
"Iron Maiden"
] | [
"Tony Parsons",
"member of",
"Iron Maiden"
] | [
"Tony Parsons",
"instrument",
"guitar"
] | Q42482__P463 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Paul Di'Anno, the former lead singer of Iron Maiden, and someone who is known for playing the guitar? | Paul Di'Anno | guitar | instrument | Query: What are different ways of connecting Paul Di'Anno, the former lead singer of Iron Maiden, and someone who is known for playing the guitar?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) f... | 169 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Paul Di'Anno\", \"member of\", \"Iron Maiden\"],\n [\"Iron Maiden\", \"has member\", \"Dave Murray\"],\n [\"Dave Murray\", \"instrument\", \"guitar\"]\n ],\n \"2\": [\n [\"Paul Di'Anno\", \"member of\", \"Iron Maiden\"],\n [\"Iron Maiden\", \"has member\... |
[
"Q1029606",
"P162",
"Q51564"
] | [
"Q1029606",
"P162",
"Q4954374"
] | [
"Q4954374",
"P69",
"Q6260553"
] | [
"Susan's Plan",
"producer",
"John Landis"
] | [
"Susan's Plan",
"producer",
"Brad Wyman"
] | [
"Brad Wyman",
"educated at",
"John Thomas Dye School"
] | Q1029606__P162 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting John Landis, the filmmaker, and someone who was educated at the John Thomas Dye School? | John Landis | John Thomas Dye School | educated at | Query: What are different ways of connecting John Landis, the filmmaker, and someone who was educated at the John Thomas Dye School?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a conti... | 170 | {"final_response": "```json\n{\n \"1\": [\n [\n \"John Landis\",\n \"directed\",\n \"Oscar\"\n ],\n [\n \"Tim Curry\",\n \"acted in\",\n \"Oscar\"\n ],\n [\n \"Tim Curry\",\n \"acted in\",\n \"Scary Movie 2\"\n ],\n [\n \"Tori Spelling\",\n \"... |
[
"Q2291605",
"P2175",
"Q41861"
] | [
"Q221520",
"P2175",
"Q41861"
] | [
"Q221520",
"P769",
"Q929420"
] | [
"moexipril",
"medical condition treated",
"arterial hypertension"
] | [
"triamterene",
"medical condition treated",
"arterial hypertension"
] | [
"triamterene",
"significant drug interaction",
"trandolapril"
] | Q41861__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting moexipril, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with trandolapril? | moexipril | trandolapril | significant drug interaction | Query: What are different ways of connecting moexipril, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with trandolapril?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual trip... | 171 | {"final_response": "<answer>\n{\n \"1\": [\n [\"moexipril\", \"interacts with\", \"Lithium\"],\n [\"Lithium\", \"significant drug interaction\", \"trandolapril\"]\n ],\n \"2\": [\n [\"moexipril\", \"interacts with\", \"Aliskiren\"],\n [\"Aliskiren\", \"significant drug interaction\", \"trandolapril\"]\n ... |
[
"Q1871819",
"P463",
"Q42482"
] | [
"Q1796917",
"P463",
"Q42482"
] | [
"Q1796917",
"P1303",
"Q6607"
] | [
"Thunderstick",
"member of",
"Iron Maiden"
] | [
"Dave Sullivan",
"member of",
"Iron Maiden"
] | [
"Dave Sullivan",
"instrument",
"guitar"
] | Q42482__P463 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Thunderstick, the musician known for his drumming, and someone who plays the guitar? | Thunderstick | guitar | instrument | Query: What are different ways of connecting Thunderstick, the musician known for his drumming, and someone who plays the guitar?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuo... | 172 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Thunderstick\", \"member of\", \"Samson (band)\"],\n [\"Samson (band)\", \"has member\", \"Paul Samson\"],\n [\"Paul Samson\", \"instrument\", \"guitar\"]\n ],\n \"2\": [\n [\"Thunderstick\", \"member of\", \"Iron Maiden\"],\n [\"Iron Maiden\", \"has mem... |
[
"Q422229",
"P2175",
"Q12152"
] | [
"Q958087",
"P2175",
"Q12152"
] | [
"Q958087",
"P769",
"Q419939"
] | [
"diltiazem",
"medical condition treated",
"myocardial infarction"
] | [
"labetalol",
"medical condition treated",
"myocardial infarction"
] | [
"labetalol",
"significant drug interaction",
"doxazosin"
] | Q12152__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting diltiazem, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with doxazosin? | diltiazem | doxazosin | significant drug interaction | Query: What are different ways of connecting diltiazem, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with doxazosin?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples... | 173 | {"final_response": "<answer>\n{\n \"1\": [\n [\"diltiazem\", \"significant drug interaction\", \"doxazosin\"]\n ],\n \"2\": [\n [\"diltiazem\", \"interacts with\", \"sildenafil\"],\n [\"sildenafil\", \"significant drug interaction\", \"doxazosin\"]\n ],\n \"3\": [\n [\"diltiazem\", \"inhibits\", \"CYP3... |
[
"Q16597",
"P39",
"Q655407"
] | [
"Q377935",
"P39",
"Q655407"
] | [
"Q377935",
"P3373",
"Q17500653"
] | [
"Jiang Zemin",
"position held",
"President of the People's Republic of China"
] | [
"Yang Shangkun",
"position held",
"President of the People's Republic of China"
] | [
"Yang Shangkun",
"sibling",
"Yang Angong"
] | Q655407__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Jiang Zemin, the former General Secretary of the Communist Party of China, and someone who is the sibling of Yang Shangkun? | Jiang Zemin | Yang Angong | sibling | Query: What are different ways of connecting Jiang Zemin, the former General Secretary of the Communist Party of China, and someone who is the sibling of Yang Shangkun?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head,... | 174 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jiang Zemin\", \"succeeded\", \"Yang Shangkun\"],\n [\"Yang Shangkun\", \"sibling\", \"Yang Angong\"]\n ],\n \"2\": [\n [\"Jiang Zemin\", \"purged\", \"Yang Baibing\"],\n [\"Yang Baibing\", \"sibling\", \"Yang Angong\"]\n ],\n \"3\": [\n [\"Jiang Zemin... |
[
"Q134982",
"P39",
"Q14211"
] | [
"Q233992",
"P39",
"Q14211"
] | [
"Q233992",
"P3373",
"Q14949397"
] | [
"David Lloyd George",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Spencer Perceval",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Spencer Perceval",
"sibling",
"John Perceval, 3rd Earl of Egmont"
] | Q14211__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting David Lloyd George, the former Prime Minister of the UK, and someone who is a sibling of John Perceval, the 3rd Earl of Egmont? | David Lloyd George | John Perceval, 3rd Earl of Egmont | sibling | Query: What are different ways of connecting David Lloyd George, the former Prime Minister of the UK, and someone who is a sibling of John Perceval, the 3rd Earl of Egmont?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (h... | 175 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"David Lloyd George\",\n \"held office\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"Prime Minister of the United Kingdom\",\n \"position held by\",\n \"Spencer Perceval\"\n ],\n [\n \"Spencer Perceval\",\n... |
[
"Q5009814",
"P2293",
"Q11081"
] | [
"Q18029240",
"P2293",
"Q11081"
] | [
"Q18029240",
"P5572",
"Q186029"
] | [
"CD33",
"genetic association",
"Alzheimer's disease"
] | [
"MOBP",
"genetic association",
"Alzheimer's disease"
] | [
"MOBP",
"expressed in",
"optic nerve"
] | Q11081__P2293 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting CD33, a protein involved in immune response, and a substance that is expressed in the optic nerve? | CD33 | optic nerve | expressed in | Query: What are different ways of connecting CD33, a protein involved in immune response, and a substance that is expressed in the optic nerve?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | 176 | {"final_response": "<answer>\n{\n \"1\": [\n [\"CD33\", \"associated disease\", \"Alzheimer's disease\"],\n [\"Alzheimer's disease\", \"associated gene\", \"APP\"],\n [\"APP\", \"expressed in\", \"optic nerve\"]\n ],\n \"2\": [\n [\"CD33\", \"interacts with\", \"TREM2\"],\n [\"TREM2\", \"interacts wit... |
[
"Q311413",
"P39",
"Q655407"
] | [
"Q16597",
"P39",
"Q655407"
] | [
"Q16597",
"P69",
"Q4126080"
] | [
"Li Xiannian",
"position held",
"President of the People's Republic of China"
] | [
"Jiang Zemin",
"position held",
"President of the People's Republic of China"
] | [
"Jiang Zemin",
"educated at",
"National Central University"
] | Q655407__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Li Xiannian, a prominent Chinese politician, and someone who was educated at National Central University? | Li Xiannian | National Central University | educated at | Query: What are different ways of connecting Li Xiannian, a prominent Chinese politician, and someone who was educated at National Central University?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tai... | 177 | {"final_response": "```json\n{\n \"1\": [\n \"(\\\"Li Xiannian\\\", \\\"held position\\\", \\\"President of the People's Republic of China\\\")\",\n \"(\\\"Jiang Zemin\\\", \\\"held position\\\", \\\"President of the People's Republic of China\\\")\",\n \"(\\\"Jiang Zemin\\\", \\\"educated at\\\", \\\"Nationa... |
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Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
160 - End Index:
180
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s160__e180__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s160_e180_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 02:16:11 using the inference pipeline with the above configuration.
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