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 10 19 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.3k | query stringlengths 88 172 | entity_a stringlengths 4 23 | entity_b stringlengths 6 36 | rel_b stringclasses 10
values | prompt stringlengths 3.55k 3.66k | index int64 900 919 | raw_responses stringlengths 1.25k 4.12k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q104621865",
"P57",
"Q13557592"
] | [
"Q104621865",
"P57",
"Q239955"
] | [
"Q239955",
"P19",
"Q65"
] | [
"I Am Katrina",
"director",
"Mark Wood"
] | [
"I Am Katrina",
"director",
"Francesca Le"
] | [
"Francesca Le",
"place of birth",
"Los Angeles"
] | Q104621865__P57 | 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 I Am Katrina, a project or initiative, and someone who was born in Los Angeles? | I Am Katrina | Los Angeles | place of birth | Query: What are different ways of connecting I Am Katrina, a project or initiative, and someone who was born in Los Angeles?
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 ch... | 900 | {"final_response": "<answer>\n{\n \"1\": [\n [\"I Am Katrina\", \"focuses on\", \"Hurricane Katrina\"],\n [\"Hurricane Katrina\", \"affected\", \"New Orleans\"],\n [\"New Orleans\", \"sports team\", \"New Orleans Pelicans\"],\n [\"New Orleans Pelicans\", \"former player\", \"Baron Davis\"],\n [\"Baron D... |
[
"Q298997",
"P39",
"Q11699"
] | [
"Q270539",
"P39",
"Q11699"
] | [
"Q270539",
"P19",
"Q2258630"
] | [
"Levi P. Morton",
"position held",
"Vice President of the United States"
] | [
"Charles W. Fairbanks",
"position held",
"Vice President of the United States"
] | [
"Charles W. Fairbanks",
"place of birth",
"Unionville Center"
] | Q11699__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 Levi P. Morton, a notable American politician, and someone who was born in Unionville Center? | Levi P. Morton | Unionville Center | place of birth | Query: What are different ways of connecting Levi P. Morton, a notable American politician, and someone who was born in Unionville Center?
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... | 901 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Levi P. Morton\", \"position held\", \"Vice President of the United States\"],\n [\"Vice President of the United States\", \"position held by\", \"Charles W. Fairbanks\"],\n [\"Charles W. Fairbanks\", \"place of birth\", \"Unionville Center\"]\n ],\n \"2\": [\... |
[
"Q834621",
"P463",
"Q396"
] | [
"Q714845",
"P463",
"Q396"
] | [
"Q714845",
"P106",
"Q753110"
] | [
"Bono",
"member of",
"U2"
] | [
"The Edge",
"member of",
"U2"
] | [
"The Edge",
"occupation",
"songwriter"
] | Q396__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 Bono, the lead singer of U2, and someone who is known for their work as a songwriter? | Bono | songwriter | occupation | Query: What are different ways of connecting Bono, the lead singer of U2, and someone who is known for their work as a songwriter?
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 continu... | 902 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Bono\", \"occupation\", \"songwriter\"]\n ],\n \"2\": [\n [\"Bono\", \"bandmate\", \"The Edge\"],\n [\"The Edge\", \"occupation\", \"songwriter\"]\n ],\n \"3\": [\n [\"Bono\", \"father of\", \"Elijah Hewson\"],\n [\"Elijah Hewson\", \"occupation\", \"s... |
[
"Q1138619",
"P54",
"Q190618"
] | [
"Q732248",
"P54",
"Q190618"
] | [
"Q732248",
"P69",
"Q597236"
] | [
"Craig Morton",
"member of sports team",
"New York Giants"
] | [
"Mel Hein",
"member of sports team",
"New York Giants"
] | [
"Mel Hein",
"educated at",
"Washington State University"
] | Q190618__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 Craig Morton, the former NFL quarterback, and someone who was educated at Washington State University? | Craig Morton | Washington State University | educated at | Query: What are different ways of connecting Craig Morton, the former NFL quarterback, and someone who was educated at Washington State 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) ... | 903 | {"final_response": "```json\n{\n \"1\": [\n [\"Craig Morton\", \"played for\", \"Dallas Cowboys\"],\n [\"Dallas Cowboys\", \"employed\", \"Drew Bledsoe\"],\n [\"Drew Bledsoe\", \"educated at\", \"Washington State University\"]\n ],\n \"2\": [\n [\"Craig Morton\", \"played for\", \"Dallas Cowboys\"],\n ... |
[
"Q455964",
"P463",
"Q10708"
] | [
"Q202859",
"P463",
"Q10708"
] | [
"Q202859",
"P27",
"Q408"
] | [
"Cliff Martinez",
"member of",
"Red Hot Chili Peppers"
] | [
"Flea",
"member of",
"Red Hot Chili Peppers"
] | [
"Flea",
"country of citizenship",
"Australia"
] | Q10708__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 Cliff Martinez, the composer known for his film scores, and someone who is a citizen of Australia? | Cliff Martinez | Australia | country of citizenship | Query: What are different ways of connecting Cliff Martinez, the composer known for his film scores, and someone who is a citizen of Australia?
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... | 904 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Cliff Martinez\",\n \"member of\",\n \"Red Hot Chili Peppers\"\n ],\n [\n \"Red Hot Chili Peppers\",\n \"has member\",\n \"Flea\"\n ],\n [\n \"Flea\",\n \"country of citizenship\",\n \"Australia\"\n ]\n ]... |
[
"Q276309",
"P40",
"Q1762"
] | [
"Q1446",
"P40",
"Q1762"
] | [
"Q1446",
"P2359",
"Q32979408"
] | [
"Sextus Varius Marcellus",
"child",
"Elagabalus"
] | [
"Caracalla",
"child",
"Elagabalus"
] | [
"Caracalla",
"Roman nomen gentilicium",
"Septimius"
] | Q1762__P40 | 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 Sextus Varius Marcellus, a historical figure, and someone who shares a Roman nomen gentilicium with Septimius? | Sextus Varius Marcellus | Septimius | Roman nomen gentilicium | Query: What are different ways of connecting Sextus Varius Marcellus, a historical figure, and someone who shares a Roman nomen gentilicium with Septimius?
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... | 905 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Sextus Varius Marcellus\", \"spouse\", \"Julia Soaemias\"],\n [\"Julia Soaemias\", \"niece of\", \"Julia Domna\"],\n [\"Julia Domna\", \"spouse\", \"Septimius Severus\"],\n [\"Septimius Severus\", \"Roman nomen gentilicium\", \"Septimius\"]\n ],\n \"2\": [\... |
[
"Q83071",
"P161",
"Q112151632"
] | [
"Q83071",
"P161",
"Q7815481"
] | [
"Q7815481",
"P69",
"Q7375001"
] | [
"Downton Abbey",
"cast member",
"Louis Hilyer"
] | [
"Downton Abbey",
"cast member",
"Tom Cullen"
] | [
"Tom Cullen",
"educated at",
"Royal Welsh College of Music & Drama"
] | Q83071__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 Louis Hilyer and someone who was educated at the Royal Welsh College of Music & Drama? | Louis Hilyer | Royal Welsh College of Music & Drama | educated at | Query: What are different ways of connecting Louis Hilyer and someone who was educated at the Royal Welsh College of Music & Drama?
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... | 906 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Louis Hilyer\",\n \"acted in\",\n \"Ironclad\"\n ],\n [\n \"Ironclad\",\n \"cast member\",\n \"Aneurin Barnard\"\n ],\n [\n \"Aneurin Barnard\",\n \"educated at\",\n \"Royal Welsh College of Music & Drama\"\n... |
[
"Q7384452",
"P54",
"Q219602"
] | [
"Q4964510",
"P54",
"Q219602"
] | [
"Q4964510",
"P69",
"Q270222"
] | [
"Ryan Quigley",
"member of sports team",
"New York Jets"
] | [
"Brian Linthicum",
"member of sports team",
"New York Jets"
] | [
"Brian Linthicum",
"educated at",
"Michigan State University"
] | Q219602__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 Ryan Quigley, the professional football player, and someone who was educated at Michigan State University? | Ryan Quigley | Michigan State University | educated at | Query: What are different ways of connecting Ryan Quigley, the professional football player, and someone who was educated at Michigan State 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, ta... | 907 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ryan Quigley\", \"teammate of\", \"Trae Waynes\"],\n [\"Trae Waynes\", \"educated at\", \"Michigan State University\"]\n ],\n \"2\": [\n [\"Ryan Quigley\", \"teammate of\", \"Drew Stanton\"],\n [\"Drew Stanton\", \"educated at\", \"Michigan State University... |
[
"Q7612200",
"P54",
"Q223522"
] | [
"Q5210374",
"P54",
"Q223522"
] | [
"Q5210374",
"P19",
"Q1193960"
] | [
"Steve Cheek",
"member of sports team",
"Kansas City Chiefs"
] | [
"Dale Carter",
"member of sports team",
"Kansas City Chiefs"
] | [
"Dale Carter",
"place of birth",
"Covington"
] | Q223522__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 Steve Cheek and someone who was born in Covington? | Steve Cheek | Covington | place of birth | Query: What are different ways of connecting Steve Cheek and someone who was born in Covington?
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 enti... | 908 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Steve Cheek\", \"played for\", \"Houston Texans\"],\n [\"Akeem Hunt\", \"played for\", \"Houston Texans\"],\n [\"Akeem Hunt\", \"place of birth\", \"Covington\"]\n ],\n \"2\": [\n [\"Steve Cheek\", \"played for\", \"Kansas City Chiefs\"],\n [\"Kansas Cit... |
[
"Q107070337",
"P40",
"Q1480"
] | [
"Q2447682",
"P40",
"Q1480"
] | [
"Q2447682",
"P22",
"Q107070343"
] | [
"Demetria Sumulong",
"child",
"Corazon Aquino"
] | [
"José Cojuangco",
"child",
"Corazon Aquino"
] | [
"José Cojuangco",
"father",
"Melencio Estrella Cojuangco"
] | Q1480__P40 | 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 Demetria Sumulong and someone who is the father of Melencio Estrella Cojuangco? | Demetria Sumulong | Melencio Estrella Cojuangco | father | Query: What are different ways of connecting Demetria Sumulong and someone who is the father of Melencio Estrella Cojuangco?
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 ch... | 909 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Demetria Sumulong\",\n \"spouse\",\n \"Jose Cojuangco\"\n ],\n [\n \"Jose Cojuangco\",\n \"child of\",\n \"Melencio Estrella Cojuangco\"\n ],\n [\n \"Melencio Estrella Cojuangco\",\n \"child of\",\n \"Co Yu Hw... |
[
"Q18036616",
"P2293",
"Q11081"
] | [
"Q18041263",
"P2293",
"Q11081"
] | [
"Q18041263",
"P5572",
"Q1476178"
] | [
"SLC4A1AP",
"genetic association",
"Alzheimer's disease"
] | [
"DCHS2",
"genetic association",
"Alzheimer's disease"
] | [
"DCHS2",
"expressed in",
"nucleus accumbens"
] | 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 SLC4A1AP, a gene, and a substance that is expressed in the nucleus accumbens? | SLC4A1AP | nucleus accumbens | expressed in | Query: What are different ways of connecting SLC4A1AP, a gene, and a substance that is expressed in the nucleus accumbens?
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 chai... | 910 | {"final_response": "<answer>\n{\n \"1\": [\n [\"SLC4A1AP\", \"interacts with\", \"UBC\"],\n [\"UBC\", \"expressed in\", \"nucleus accumbens\"]\n ],\n \"2\": [\n [\"SLC4A1AP\", \"interacts with\", \"APP\"],\n [\"APP\", \"expressed in\", \"nucleus accumbens\"]\n ],\n \"3\": [\n [\"SLC4A1AP\", \"intera... |
[
"Q65768604",
"P161",
"Q113005368"
] | [
"Q65768604",
"P161",
"Q231237"
] | [
"Q231237",
"P69",
"Q5338131"
] | [
"Thor: Love and Thunder",
"cast member",
"Eliza Matengu"
] | [
"Thor: Love and Thunder",
"cast member",
"Karen Gillan"
] | [
"Karen Gillan",
"educated at",
"Edinburgh's Telford College"
] | Q65768604__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 Eliza Matengu and someone who was educated at Edinburgh's Telford College? | Eliza Matengu | Edinburgh's Telford College | educated at | Query: What are different ways of connecting Eliza Matengu and someone who was educated at Edinburgh's Telford College?
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... | 911 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Eliza Matengu\", \"citizen of\", \"Namibia\"],\n [\"Namibia\", \"member of\", \"Commonwealth of Nations\"],\n [\"Commonwealth of Nations\", \"has member\", \"United Kingdom\"],\n [\"United Kingdom\", \"country of citizenship\", \"Craig Ferguson\"],\n [\"Cr... |
[
"Q189330",
"P58",
"Q25191"
] | [
"Q189330",
"P58",
"Q372788"
] | [
"Q372788",
"P166",
"Q1895068"
] | [
"The Dark Knight Rises",
"screenwriter",
"Christopher Nolan"
] | [
"The Dark Knight Rises",
"screenwriter",
"Jonathan Nolan"
] | [
"Jonathan Nolan",
"award received",
"35th Saturn Awards"
] | Q189330__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 Christopher Nolan, the acclaimed filmmaker, and someone who received an award at the 35th Saturn Awards? | Christopher Nolan | 35th Saturn Awards | award received | Query: What are different ways of connecting Christopher Nolan, the acclaimed filmmaker, and someone who received an award at the 35th Saturn Awards?
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... | 912 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Christopher Nolan\",\n \"award received\",\n \"35th Saturn Awards\"\n ]\n ],\n \"2\": [\n [\n \"Christopher Nolan\",\n \"sibling of\",\n \"Jonathan Nolan\"\n ],\n [\n \"Jonathan Nolan\",\n \"award received\",\n ... |
[
"Q74283",
"P39",
"Q4166474"
] | [
"Q504387",
"P39",
"Q4166474"
] | [
"Q504387",
"P19",
"Q3130"
] | [
"Eugene Isaac Meyer",
"position held",
"President of the World Bank Group"
] | [
"James Wolfensohn",
"position held",
"President of the World Bank Group"
] | [
"James Wolfensohn",
"place of birth",
"Sydney"
] | Q4166474__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 Eugene Isaac Meyer, an influential figure in American journalism, and someone who was born in Sydney? | Eugene Isaac Meyer | Sydney | place of birth | Query: What are different ways of connecting Eugene Isaac Meyer, an influential figure in American journalism, and someone who was born in Sydney?
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... | 913 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Eugene Isaac Meyer\",\n \"position held\",\n \"President of the World Bank Group\"\n ],\n [\n \"James Wolfensohn\",\n \"position held\",\n \"President of the World Bank Group\"\n ],\n [\n \"James Wolfensohn\",\n \"... |
[
"Q10664",
"P39",
"Q14211"
] | [
"Q20055561",
"P39",
"Q14211"
] | [
"Q20055561",
"P166",
"Q253936"
] | [
"Neville Chamberlain",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Rishi Sunak",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Rishi Sunak",
"award received",
"Fulbright Scholarship"
] | 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 Neville Chamberlain, the former British Prime Minister, and someone who has received the Fulbright Scholarship? | Neville Chamberlain | Fulbright Scholarship | award received | Query: What are different ways of connecting Neville Chamberlain, the former British Prime Minister, and someone who has received the Fulbright Scholarship?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationshi... | 914 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Neville Chamberlain\", \"held position\", \"Prime Minister of the United Kingdom\"],\n [\"Prime Minister of the United Kingdom\", \"held by\", \"Rishi Sunak\"],\n [\"Rishi Sunak\", \"award received\", \"Fulbright Scholarship\"]\n ],\n \"2\": [\n [\"Neville ... |
[
"Q1644947",
"P2175",
"Q12152"
] | [
"Q418101",
"P2175",
"Q12152"
] | [
"Q418101",
"P769",
"Q410061"
] | [
"tenecteplase",
"medical condition treated",
"myocardial infarction"
] | [
"pindolol",
"medical condition treated",
"myocardial infarction"
] | [
"pindolol",
"significant drug interaction",
"amiodarone"
] | 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 tenecteplase, a medication used for treating heart attacks, and a substance that has a significant drug interaction with amiodarone? | tenecteplase | amiodarone | significant drug interaction | Query: What are different ways of connecting tenecteplase, a medication used for treating heart attacks, and a substance that has a significant drug interaction with amiodarone?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl... | 915 | {"final_response": "<answer>\n{\n \"1\": [\n [\"tenecteplase\", \"treats\", \"myocardial infarction\"],\n [\"myocardial infarction\", \"prevented by\", \"simvastatin\"],\n [\"simvastatin\", \"significant drug interaction\", \"amiodarone\"]\n ],\n \"2\": [\n [\"tenecteplase\", \"treats\", \"pulmonary embo... |
[
"Q1260",
"P39",
"Q81066"
] | [
"Q311440",
"P39",
"Q81066"
] | [
"Q311440",
"P166",
"Q114965475"
] | [
"Kurt Waldheim",
"position held",
"United Nations Secretary-General"
] | [
"António Guterres",
"position held",
"United Nations Secretary-General"
] | [
"António Guterres",
"award received",
"Order of Friendship of Kyrgyzstan"
] | Q81066__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 Kurt Waldheim, the former Secretary-General of the United Nations, and someone who has received the Order of Friendship of Kyrgyzstan? | Kurt Waldheim | Order of Friendship of Kyrgyzstan | award received | Query: What are different ways of connecting Kurt Waldheim, the former Secretary-General of the United Nations, and someone who has received the Order of Friendship of Kyrgyzstan?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tri... | 916 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Kurt Waldheim\", \"held position\", \"Secretary-General of the United Nations\"],\n [\"Ban Ki-moon\", \"held position\", \"Secretary-General of the United Nations\"],\n [\"Ban Ki-moon\", \"award received\", \"Order of Friendship of Kyrgyzstan\"]\n ],\n \"2\": ... |
[
"Q75820",
"P54",
"Q171337"
] | [
"Q172753",
"P54",
"Q171337"
] | [
"Q172753",
"P106",
"Q10349745"
] | [
"Nico Rosberg",
"member of sports team",
"Williams Racing"
] | [
"Alan Jones",
"member of sports team",
"Williams Racing"
] | [
"Alan Jones",
"occupation",
"racing automobile driver"
] | Q171337__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 Nico Rosberg, the German racing driver, and someone who is known for their occupation as a racing automobile driver? | Nico Rosberg | racing automobile driver | occupation | Query: What are different ways of connecting Nico Rosberg, the German racing driver, and someone who is known for their occupation as a racing automobile driver?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relati... | 917 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Nico Rosberg\", \"father\", \"Keke Rosberg\"],\n [\"Keke Rosberg\", \"occupation\", \"racing automobile driver\"]\n ],\n \"2\": [\n [\"Nico Rosberg\", \"teammate\", \"Lewis Hamilton\"],\n [\"Lewis Hamilton\", \"occupation\", \"racing automobile driver\"]\n ... |
End of preview. Expand in Data Studio
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:
900 - End Index:
920
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s900__e920__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("s900_e920_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 13:04:48 using the inference pipeline with the above configuration.
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