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 9 15 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.31k | query stringlengths 116 187 | entity_a stringlengths 4 23 | entity_b stringlengths 6 58 | rel_b stringlengths 5 28 | prompt stringlengths 3.58k 3.7k | index int64 40 59 | raw_responses stringlengths 1.28k 4.32k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q18051063",
"P2293",
"Q11081"
] | [
"Q18036665",
"P2293",
"Q11081"
] | [
"Q18036665",
"P5572",
"Q5407200"
] | [
"MPP7",
"genetic association",
"Alzheimer's disease"
] | [
"MYO16",
"genetic association",
"Alzheimer's disease"
] | [
"MYO16",
"expressed in",
"middle temporal gyrus"
] | 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 MPP7, a protein involved in cellular processes, and a substance that is expressed in the middle temporal gyrus? | MPP7 | middle temporal gyrus | expressed in | Query: What are different ways of connecting MPP7, a protein involved in cellular processes, and a substance that is expressed in the middle temporal gyrus?
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... | 40 | {"final_response": "<answer>\n{\n \"1\": [\n [\"MPP7\", \"interacts with\", \"LIN7A\"],\n [\"LIN7A\", \"expressed in\", \"middle temporal gyrus\"]\n ],\n \"2\": [\n [\"MPP7\", \"interacts with\", \"DLG1\"],\n [\"DLG1\", \"expressed in\", \"middle temporal gyrus\"]\n ],\n \"3\": [\n [\"MPP7\", \"inte... |
[
"Q27106078",
"P2175",
"Q41861"
] | [
"Q425289",
"P2175",
"Q41861"
] | [
"Q425289",
"P769",
"Q409231"
] | [
"carteolol hydrochloride",
"medical condition treated",
"arterial hypertension"
] | [
"chlorthalidone",
"medical condition treated",
"arterial hypertension"
] | [
"chlorthalidone",
"significant drug interaction",
"indomethacin"
] | 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 carteolol hydrochloride, a medication, and a substance that has a significant drug interaction with indomethacin? | carteolol hydrochloride | indomethacin | significant drug interaction | Query: What are different ways of connecting carteolol hydrochloride, a medication, and a substance that has a significant drug interaction with indomethacin?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relations... | 41 | {"final_response": "<answer>\n{\n \"1\": [\n [\"carteolol hydrochloride\", \"significant drug interaction\", \"indomethacin\"]\n ],\n \"2\": [\n [\"carteolol hydrochloride\", \"treats\", \"Glaucoma\"],\n [\"Glaucoma\", \"treated by\", \"Timolol\"],\n [\"Timolol\", \"significant drug interaction\", \"indo... |
[
"Q1078392",
"P2175",
"Q41861"
] | [
"Q5613542",
"P2175",
"Q41861"
] | [
"Q5613542",
"P129",
"Q4734892"
] | [
"indapamide",
"medical condition treated",
"arterial hypertension"
] | [
"guanabenz",
"medical condition treated",
"arterial hypertension"
] | [
"guanabenz",
"physically interacts with",
"Adrenoceptor alpha 2A"
] | 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 indapamide, a medication used to treat high blood pressure, and a substance that physically interacts with the adrenoceptor alpha 2A? | indapamide | Adrenoceptor alpha 2A | physically interacts with | Query: What are different ways of connecting indapamide, a medication used to treat high blood pressure, and a substance that physically interacts with the adrenoceptor alpha 2A?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual trip... | 42 | {"final_response": "<answer>\n{\n \"1\": [\n [\"indapamide\", \"treats\", \"Hypertension\"],\n [\"Clonidine\", \"treats\", \"Hypertension\"],\n [\"Clonidine\", \"physically interacts with\", \"Adrenoceptor alpha 2A\"]\n ],\n \"2\": [\n [\"indapamide\", \"interacts with\", \"Epinephrine\"],\n [\"Epinep... |
[
"Q2158789",
"P166",
"Q17144"
] | [
"Q179051",
"P166",
"Q17144"
] | [
"Q179051",
"P106",
"Q28389"
] | [
"Robert S. Strauss",
"award received",
"Presidential Medal of Freedom"
] | [
"Kareem Abdul-Jabbar",
"award received",
"Presidential Medal of Freedom"
] | [
"Kareem Abdul-Jabbar",
"occupation",
"screenwriter"
] | Q17144__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 Robert S. Strauss, a notable figure in American politics, and someone who is known for their work as a screenwriter? | Robert S. Strauss | screenwriter | occupation | Query: What are different ways of connecting Robert S. Strauss, a notable figure in American politics, and someone who is known for their work as a screenwriter?
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... | 43 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Robert S. Strauss\", \"awarded\", \"Presidential Medal of Freedom\"],\n [\"Presidential Medal of Freedom\", \"awarded to\", \"Steven Spielberg\"],\n [\"Steven Spielberg\", \"occupation\", \"screenwriter\"]\n ],\n \"2\": [\n [\"Robert S. Strauss\", \"educate... |
[
"Q1124",
"P39",
"Q11696"
] | [
"Q6279",
"P39",
"Q11696"
] | [
"Q6279",
"P166",
"Q23058092"
] | [
"Bill Clinton",
"position held",
"President of the United States"
] | [
"Joe Biden",
"position held",
"President of the United States"
] | [
"Joe Biden",
"award received",
"Grand Cross with collar of the Order of Vytautas the Great"
] | Q11696__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 Bill Clinton, the former President of the United States, and someone who has received the Grand Cross with collar of the Order of Vytautas the Great? | Bill Clinton | Grand Cross with collar of the Order of Vytautas the Great | award received | Query: What are different ways of connecting Bill Clinton, the former President of the United States, and someone who has received the Grand Cross with collar of the Order of Vytautas the Great?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence... | 44 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Bill Clinton\",\n \"educated at\",\n \"Georgetown University\"\n ],\n [\n \"Georgetown University\",\n \"educated at\",\n \"Dalia Grybauskait\u0117\"\n ],\n [\n \"Dalia Grybauskait\u0117\",\n \"award received\",\n ... |
[
"Q505291",
"P166",
"Q17144"
] | [
"Q945011",
"P166",
"Q17144"
] | [
"Q945011",
"P40",
"Q6253084"
] | [
"Andrew Goodpaster",
"award received",
"Presidential Medal of Freedom"
] | [
"Norman Podhoretz",
"award received",
"Presidential Medal of Freedom"
] | [
"Norman Podhoretz",
"child",
"John Podhoretz"
] | Q17144__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 Andrew Goodpaster, a notable military leader, and someone who is the parent of John Podhoretz? | Andrew Goodpaster | John Podhoretz | child | Query: What are different ways of connecting Andrew Goodpaster, a notable military leader, and someone who is the parent of John Podhoretz?
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 ... | 45 | {"final_response": "```json\n{\n \"1\": [\n [\"Andrew Goodpaster\", \"awarded\", \"Presidential Medal of Freedom\"],\n [\"Presidential Medal of Freedom\", \"awarded to\", \"Norman Podhoretz\"],\n [\"Norman Podhoretz\", \"child\", \"John Podhoretz\"]\n ],\n \"2\": [\n [\"Andrew Goodpaster\", \"member of\"... |
[
"Q3430918",
"P463",
"Q28963"
] | [
"Q2355882",
"P463",
"Q28963"
] | [
"Q2355882",
"P1303",
"Q79838"
] | [
"Richard Jones",
"member of",
"Stereophonics"
] | [
"Stuart Cable",
"member of",
"Stereophonics"
] | [
"Stuart Cable",
"instrument",
"accordion"
] | Q28963__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 Richard Jones, a musician, and someone who is known for playing the accordion? | Richard Jones | accordion | instrument | Query: What are different ways of connecting Richard Jones, a musician, and someone who is known for playing the accordion?
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 cha... | 46 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Richard Jones\", \"spouse\", \"Sophie Ellis-Bextor\"],\n [\"Sophie Ellis-Bextor\", \"collaborated with\", \"Calvin Harris\"],\n [\"Calvin Harris\", \"collaborated with\", \"Rihanna\"],\n [\"Rihanna\", \"collaborated with\", \"Paul McCartney\"],\n [\"Paul M... |
[
"Q295268",
"P40",
"Q353"
] | [
"Q232144",
"P40",
"Q353"
] | [
"Q232144",
"P3373",
"Q1357271"
] | [
"Alfonso VIII of Castile",
"child",
"Blanche of Castile"
] | [
"Eleanor of England",
"child",
"Blanche of Castile"
] | [
"Eleanor of England",
"sibling",
"Geoffrey"
] | Q353__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 Alfonso VIII of Castile, a historical king, and someone who is a sibling of Eleanor of England? | Alfonso VIII of Castile | Geoffrey | sibling | Query: What are different ways of connecting Alfonso VIII of Castile, a historical king, and someone who is a sibling of Eleanor of England?
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... | 47 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Alfonso VIII of Castile\",\n \"spouse\",\n \"Eleanor of England\"\n ],\n [\n \"Eleanor of England\",\n \"sibling\",\n \"Geoffrey\"\n ]\n ],\n \"2\": [\n [\n \"Alfonso VIII of Castile\",\n \"child\",\n \"Ber... |
[
"Q9576",
"P39",
"Q14211"
] | [
"Q160852",
"P39",
"Q14211"
] | [
"Q160852",
"P22",
"Q7527795"
] | [
"James Callaghan",
"position held",
"Prime Minister of the United Kingdom"
] | [
"William Ewart Gladstone",
"position held",
"Prime Minister of the United Kingdom"
] | [
"William Ewart Gladstone",
"father",
"Sir John Gladstone, 1st Baronet"
] | 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 James Callaghan, the former British Prime Minister, and someone who is the father of William Ewart Gladstone? | James Callaghan | Sir John Gladstone, 1st Baronet | father | Query: What are different ways of connecting James Callaghan, the former British Prime Minister, and someone who is the father of William Ewart Gladstone?
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,... | 48 | {"final_response": "```json\n{\n \"1\": [\n [\n \"James Callaghan\",\n \"held office\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"William Ewart Gladstone\",\n \"held office\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"William Ewart Gladstone... |
[
"Q422631",
"P2175",
"Q12199"
] | [
"Q421369",
"P2175",
"Q12199"
] | [
"Q421369",
"P3780",
"Q29004961"
] | [
"lamivudine",
"medical condition treated",
"HIV/AIDS"
] | [
"maraviroc",
"medical condition treated",
"HIV/AIDS"
] | [
"maraviroc",
"active ingredient in",
"Celsentri"
] | Q12199__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 lamivudine, a medication used to treat HIV, and a substance that is the active ingredient in Celsentri? | lamivudine | Celsentri | active ingredient in | Query: What are different ways of connecting lamivudine, a medication used to treat HIV, and a substance that is the active ingredient in Celsentri?
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)... | 49 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"lamivudine\",\n \"treats\",\n \"HIV\"\n ],\n [\n \"HIV\",\n \"treated by\",\n \"maraviroc\"\n ],\n [\n \"maraviroc\",\n \"active ingredient in\",\n \"Celsentri\"\n ]\n ],\n \"2\": [\n [\n \"lamiv... |
[
"Q201506",
"P166",
"Q38104"
] | [
"Q109588",
"P166",
"Q38104"
] | [
"Q109588",
"P101",
"Q2178236"
] | [
"Clifford Shull",
"award received",
"Nobel Prize in Physics"
] | [
"Serge Haroche",
"award received",
"Nobel Prize in Physics"
] | [
"Serge Haroche",
"field of work",
"Rydberg atom"
] | 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 Clifford Shull, the American physicist, and someone who has worked in the field of Rydberg atoms? | Clifford Shull | Rydberg atom | field of work | Query: What are different ways of connecting Clifford Shull, the American physicist, and someone who has worked in the field of Rydberg atoms?
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) formi... | 50 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Clifford Shull\", \"employer\", \"Massachusetts Institute of Technology\"],\n [\"Massachusetts Institute of Technology\", \"employer of\", \"Daniel Kleppner\"],\n [\"Daniel Kleppner\", \"field of work\", \"Rydberg atom\"]\n ],\n \"2\": [\n [\"Clifford Shull... |
[
"Q205326",
"P54",
"Q131364"
] | [
"Q5300636",
"P54",
"Q131364"
] | [
"Q5300636",
"P647",
"Q169661"
] | [
"Derrick Rose",
"member of sports team",
"New York Knicks"
] | [
"Doug Kistler",
"member of sports team",
"New York Knicks"
] | [
"Doug Kistler",
"drafted by",
"Detroit Pistons"
] | Q131364__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 Derrick Rose, the professional basketball player, and someone who was drafted by the Detroit Pistons? | Derrick Rose | Detroit Pistons | drafted by | Query: What are different ways of connecting Derrick Rose, the professional basketball player, and someone who was drafted by the Detroit Pistons?
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... | 51 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Derrick Rose\",\n \"teammate of\",\n \"Andre Drummond\"\n ],\n [\n \"Andre Drummond\",\n \"drafted by\",\n \"Detroit Pistons\"\n ]\n ],\n \"2\": [\n [\n \"Derrick Rose\",\n \"teammate of\",\n \"Killian Haye... |
[
"Q27132753",
"P2175",
"Q6853"
] | [
"Q22075912",
"P2175",
"Q6853"
] | [
"Q22075912",
"P3780",
"Q47522279"
] | [
"tenofovir disoproxil",
"medical condition treated",
"hepatitis B"
] | [
"tenofovir alafenamide",
"medical condition treated",
"hepatitis B"
] | [
"tenofovir alafenamide",
"active ingredient in",
"Vemlidy"
] | Q6853__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 tenofovir disoproxil, a medication used in the treatment of HIV, and a substance that is the active ingredient in Vemlidy? | tenofovir disoproxil | Vemlidy | active ingredient in | Query: What are different ways of connecting tenofovir disoproxil, a medication used in the treatment of HIV, and a substance that is the active ingredient in Vemlidy?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | 52 | {"final_response": "<answer>\n{\n \"1\": [\n [\"tenofovir disoproxil\", \"prodrug of\", \"tenofovir\"],\n [\"tenofovir\", \"active moiety of\", \"tenofovir alafenamide\"],\n [\"tenofovir alafenamide\", \"active ingredient in\", \"Vemlidy\"]\n ],\n \"2\": [\n [\"tenofovir disoproxil\", \"developed by\", \... |
[
"Q22686",
"P39",
"Q11696"
] | [
"Q23",
"P39",
"Q11696"
] | [
"Q23",
"P1038",
"Q21004273"
] | [
"Donald Trump",
"position held",
"President of the United States"
] | [
"George Washington",
"position held",
"President of the United States"
] | [
"George Washington",
"relative",
"Martha Parke Custis"
] | Q11696__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 Donald Trump, the former President of the United States, and someone who is a relative of George Washington? | Donald Trump | Martha Parke Custis | relative | Query: What are different ways of connecting Donald Trump, the former President of the United States, and someone who is a relative of George Washington?
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, ... | 53 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Donald Trump\", \"held position\", \"President of the United States\"],\n [\"President of the United States\", \"first holder\", \"George Washington\"],\n [\"George Washington\", \"relative\", \"Martha Parke Custis\"]\n ],\n \"2\": [\n [\"Donald Trump\", \"... |
[
"Q413879",
"P2175",
"Q1477"
] | [
"Q420305",
"P2175",
"Q1477"
] | [
"Q420305",
"P2868",
"Q1809112"
] | [
"golimumab",
"medical condition treated",
"ulcerative colitis"
] | [
"ustekinumab",
"medical condition treated",
"ulcerative colitis"
] | [
"ustekinumab",
"subject has role",
"dermatologic drug"
] | Q1477__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 golimumab, a medication used for treating autoimmune conditions, and a substance that plays a role as a dermatologic drug? | golimumab | dermatologic drug | subject has role | Query: What are different ways of connecting golimumab, a medication used for treating autoimmune conditions, and a substance that plays a role as a dermatologic drug?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | 54 | {"final_response": "<answer>\n{\n \"1\": [\n [\"golimumab\", \"treats\", \"psoriasis\"],\n [\"psoriasis\", \"treated by\", \"methotrexate\"],\n [\"methotrexate\", \"subject has role\", \"dermatologic drug\"]\n ],\n \"2\": [\n [\"golimumab\", \"physically interacts with\", \"TNF alpha\"],\n [\"TNF alph... |
[
"Q1028330",
"P57",
"Q6503795"
] | [
"Q1028330",
"P57",
"Q7439380"
] | [
"Q7439380",
"P27",
"Q1054923"
] | [
"City Without Baseball",
"director",
"Lawrence Ah Mon"
] | [
"City Without Baseball",
"director",
"Scud"
] | [
"Scud",
"country of citizenship",
"British Hong Kong"
] | Q1028330__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 "City Without Baseball," a notable work, and someone who is associated with British Hong Kong as their country of citizenship? | City Without Baseball | British Hong Kong | country of citizenship | Query: What are different ways of connecting "City Without Baseball," a notable work, and someone who is associated with British Hong Kong as their country of citizenship?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (he... | 55 | {"final_response": "<answer>\n{\n \"1\": [\n [\"City Without Baseball\", \"director\", \"Lawrence Lau\"],\n [\"Lawrence Lau\", \"country of citizenship\", \"British Hong Kong\"]\n ],\n \"2\": [\n [\"City Without Baseball\", \"producer\", \"Scud\"],\n [\"Scud\", \"country of citizenship\", \"British Hong ... |
[
"Q3051334",
"P166",
"Q935843"
] | [
"Q15869",
"P166",
"Q935843"
] | [
"Q15869",
"P136",
"Q49451"
] | [
"Ella Jenkins",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Freddie Mercury",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Freddie Mercury",
"genre",
"progressive rock"
] | Q935843__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 Ella Jenkins, a notable figure in children's music, and someone who is associated with the progressive rock genre? | Ella Jenkins | progressive rock | genre | Query: What are different ways of connecting Ella Jenkins, a notable figure in children's music, and someone who is associated with the progressive rock genre?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relation... | 56 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ella Jenkins\", \"released album on\", \"Folkways Records\"],\n [\"Folkways Records\", \"acquired by\", \"Smithsonian Institution\"],\n [\"Smithsonian Institution\", \"operates\", \"National Museum of American History\"],\n [\"National Museum of American Hist... |
[
"Q1990978",
"P463",
"Q11649"
] | [
"Q428798",
"P463",
"Q11649"
] | [
"Q428798",
"P172",
"Q167420"
] | [
"Aaron Burckhard",
"member of",
"Nirvana"
] | [
"Krist Novoselic",
"member of",
"Nirvana"
] | [
"Krist Novoselic",
"ethnic group",
"Croats"
] | Q11649__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 Aaron Burckhard, a musician, and someone who is associated with the Croats, an ethnic group? | Aaron Burckhard | Croats | ethnic group | Query: What are different ways of connecting Aaron Burckhard, a musician, and someone who is associated with the Croats, an ethnic group?
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 ... | 57 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Aaron Burckhard\", \"bandmate of\", \"Krist Novoselic\"],\n [\"Krist Novoselic\", \"ethnic group\", \"Croats\"]\n ],\n \"2\": [\n [\"Aaron Burckhard\", \"member of\", \"Nirvana\"],\n [\"Nirvana\", \"member\", \"Krist Novoselic\"],\n [\"Krist Novoselic\",... |
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:
40 - End Index:
60
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s40__e60__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("s40_e60_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 13:13:32 using the inference pipeline with the above configuration.
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