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 16 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.31k | query stringlengths 102 159 | entity_a stringlengths 6 26 | entity_b stringlengths 5 24 | rel_b stringlengths 6 23 | prompt stringlengths 3.57k 3.65k | index int64 380 399 | raw_responses stringlengths 1.02k 4.78k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q104894791",
"P58",
"Q12035279"
] | [
"Q104894791",
"P58",
"Q11727279"
] | [
"Q11727279",
"P106",
"Q2526255"
] | [
"O zivot",
"screenwriter",
"Marek Dobeš"
] | [
"O zivot",
"screenwriter",
"Jiří Vejdělek"
] | [
"Jiří Vejdělek",
"occupation",
"film director"
] | Q104894791__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 Marek Dobeš, a notable figure in the film industry, and someone who is a film director? | Marek Dobeš | film director | occupation | Query: What are different ways of connecting Marek Dobeš, a notable figure in the film industry, and someone who is a film director?
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... | 380 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Marek Dobe\u0161\",\n \"occupation\",\n \"film director\"\n ]\n ],\n \"2\": [\n [\n \"Marek Dobe\u0161\",\n \"screenwriter of\",\n \"Kaj\u00ednek\"\n ],\n [\n \"Kaj\u00ednek\",\n \"directed by\",\n \"Petr J... |
[
"Q6074",
"P161",
"Q203215"
] | [
"Q6074",
"P161",
"Q6113593"
] | [
"Q6113593",
"P27",
"Q145"
] | [
"Star Wars Episode VII: The Force Awakens",
"cast member",
"Max von Sydow"
] | [
"Star Wars Episode VII: The Force Awakens",
"cast member",
"Jack Laskey"
] | [
"Jack Laskey",
"country of citizenship",
"United Kingdom"
] | Q6074__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 Max von Sydow, the renowned Swedish actor, and someone who holds citizenship in the United Kingdom? | Max von Sydow | United Kingdom | country of citizenship | Query: What are different ways of connecting Max von Sydow, the renowned Swedish actor, and someone who holds citizenship in the United Kingdom?
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) for... | 381 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Max von Sydow\",\n \"cast member of\",\n \"Game of Thrones\"\n ],\n [\n \"Game of Thrones\",\n \"cast member\",\n \"Kit Harington\"\n ],\n [\n \"Kit Harington\",\n \"country of citizenship\",\n \"United Kingd... |
[
"Q10305218",
"P57",
"Q10311645"
] | [
"Q10305218",
"P57",
"Q2470131"
] | [
"Q2470131",
"P19",
"Q167436"
] | [
"Window of the Soul",
"director",
"João Jardim"
] | [
"Window of the Soul",
"director",
"Walter Carvalho"
] | [
"Walter Carvalho",
"place of birth",
"João Pessoa"
] | Q10305218__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 the concept of the "Window of the Soul" and someone who was born in João Pessoa? | Window of the Soul | João Pessoa | place of birth | Query: What are different ways of connecting the concept of the "Window of the Soul" and someone who was born in João Pessoa?
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 c... | 382 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Window of the Soul\",\n \"directed by\",\n \"Walter Carvalho\"\n ],\n [\n \"Walter Carvalho\",\n \"place of birth\",\n \"Jo\u00e3o Pessoa\"\n ]\n ],\n \"2\": [\n [\n \"Window of the Soul\",\n \"directed by\",\n ... |
[
"Q46551",
"P162",
"Q242951"
] | [
"Q46551",
"P162",
"Q2820085"
] | [
"Q2820085",
"P27",
"Q30"
] | [
"The Prestige",
"producer",
"Emma Thomas"
] | [
"The Prestige",
"producer",
"Aaron Ryder"
] | [
"Aaron Ryder",
"country of citizenship",
"United States of America"
] | Q46551__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 Emma Thomas, a prominent film producer, and someone who is a citizen of the United States of America? | Emma Thomas | United States of America | country of citizenship | Query: What are different ways of connecting Emma Thomas, a prominent film producer, 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) f... | 383 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Emma Thomas\", \"spouse\", \"Christopher Nolan\"],\n [\"Christopher Nolan\", \"country of citizenship\", \"United States of America\"]\n ],\n \"2\": [\n [\"Emma Thomas\", \"sibling in law\", \"Jonathan Nolan\"],\n [\"Jonathan Nolan\", \"country of citizensh... |
[
"Q433148",
"P54",
"Q169138"
] | [
"Q918855",
"P54",
"Q169138"
] | [
"Q918855",
"P118",
"Q842793"
] | [
"Christian Laettner",
"member of sports team",
"Miami Heat"
] | [
"Rafer Alston",
"member of sports team",
"Miami Heat"
] | [
"Rafer Alston",
"league",
"NBA G League"
] | Q169138__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 Christian Laettner, the former professional basketball player, and someone who has been associated with the NBA G League? | Christian Laettner | NBA G League | league | Query: What are different ways of connecting Christian Laettner, the former professional basketball player, and someone who has been associated with the NBA G League?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, r... | 384 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Christian Laettner\", \"played for\", \"Minnesota Timberwolves\"],\n [\"Minnesota Timberwolves\", \"owns\", \"Iowa Wolves\"],\n [\"Iowa Wolves\", \"league\", \"NBA G League\"]\n ],\n \"2\": [\n [\"Christian Laettner\", \"played for\", \"Washington Wizards\"... |
[
"Q53300",
"P40",
"Q1267"
] | [
"Q19591937",
"P40",
"Q1267"
] | [
"Q19591937",
"P19",
"Q1754"
] | [
"Hjalmar Hammarskjöld",
"child",
"Dag Hammarskjöld"
] | [
"Agnes Maria Carolina Almquist",
"child",
"Dag Hammarskjöld"
] | [
"Agnes Maria Carolina Almquist",
"place of birth",
"Stockholm"
] | Q1267__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 Hjalmar Hammarskjöld, a notable Swedish diplomat, and someone who was born in Stockholm? | Hjalmar Hammarskjöld | Stockholm | place of birth | Query: What are different ways of connecting Hjalmar Hammarskjöld, a notable Swedish diplomat, and someone who was born in Stockholm?
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 cont... | 385 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Hjalmar Hammarskj\u00f6ld\", \"succeeded\", \"Karl Staaff\"],\n [\"Karl Staaff\", \"place of birth\", \"Stockholm\"]\n ],\n \"2\": [\n [\"Hjalmar Hammarskj\u00f6ld\", \"chair of\", \"Nobel Foundation\"],\n [\"Nobel Foundation\", \"named after\", \"Alfred No... |
[
"Q420394",
"P2175",
"Q12192"
] | [
"Q2552927",
"P2175",
"Q12192"
] | [
"Q2552927",
"P3780",
"Q47521328"
] | [
"sucralfate",
"medical condition treated",
"pneumonia"
] | [
"cefepime",
"medical condition treated",
"pneumonia"
] | [
"cefepime",
"active ingredient in",
"Maxipime"
] | Q12192__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 sucralfate, a medication used to treat ulcers, and a substance that is the active ingredient in Maxipime? | sucralfate | Maxipime | active ingredient in | Query: What are different ways of connecting sucralfate, a medication used to treat ulcers, and a substance that is the active ingredient in Maxipime?
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... | 386 | {"final_response": "<answer>\n{\n \"1\": [\n [\"sucralfate\", \"approved by\", \"Food and Drug Administration\"],\n [\"Food and Drug Administration\", \"approved\", \"cefepime\"],\n [\"cefepime\", \"active ingredient in\", \"Maxipime\"]\n ],\n \"2\": [\n [\"sucralfate\", \"contains element\", \"Sulfur\"]... |
[
"Q9582",
"P39",
"Q11699"
] | [
"Q12306",
"P39",
"Q11699"
] | [
"Q12306",
"P26",
"Q5044998"
] | [
"Gerald Ford",
"position held",
"Vice President of the United States"
] | [
"Millard Fillmore",
"position held",
"Vice President of the United States"
] | [
"Millard Fillmore",
"spouse",
"Caroline C. Fillmore"
] | 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 Gerald Ford, the 38th President of the United States, and someone who is the spouse of Millard Fillmore? | Gerald Ford | Caroline C. Fillmore | spouse | Query: What are different ways of connecting Gerald Ford, the 38th President of the United States, and someone who is the spouse of Millard Fillmore?
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... | 387 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Gerald Ford\", \"held office\", \"President of the United States\"],\n [\"President of the United States\", \"office held by\", \"Millard Fillmore\"],\n [\"Millard Fillmore\", \"spouse\", \"Caroline C. Fillmore\"]\n ],\n \"2\": [\n [\"Gerald Ford\", \"held ... |
[
"Q1507195",
"P39",
"Q4166474"
] | [
"Q312724",
"P39",
"Q4166474"
] | [
"Q312724",
"P101",
"Q1889"
] | [
"George David Woods",
"position held",
"President of the World Bank Group"
] | [
"Robert Zoellick",
"position held",
"President of the World Bank Group"
] | [
"Robert Zoellick",
"field of work",
"diplomacy"
] | 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 George David Woods, an influential figure in finance, and someone who has worked in the field of diplomacy? | George David Woods | diplomacy | field of work | Query: What are different ways of connecting George David Woods, an influential figure in finance, and someone who has worked in the field of diplomacy?
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, t... | 388 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"George David Woods\",\n \"president of\",\n \"World Bank\"\n ],\n [\n \"World Bank\",\n \"president\",\n \"John J. McCloy\"\n ],\n [\n \"John J. McCloy\",\n \"field of work\",\n \"diplomacy\"\n ]\n ],\n ... |
[
"Q95109910",
"P58",
"Q104897784"
] | [
"Q95078639",
"P58",
"Q104897784"
] | [
"Q104897784",
"P106",
"Q3387717"
] | [
"Marcel Bystroň",
"screenwriter",
"Two Brides and One Wedding"
] | [
"Tomáš Svoboda",
"screenwriter",
"Two Brides and One Wedding"
] | [
"Two Brides and One Wedding",
"occupation",
"theatrical director"
] | Q104897784__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 "Two Brides and One Wedding," a notable work, and someone who is known for their occupation as a theatrical director? | Two Brides and One Wedding | theatrical director | occupation | Query: What are different ways of connecting "Two Brides and One Wedding," a notable work, and someone who is known for their occupation as a theatrical director?
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... | 389 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Two Brides and One Wedding\", \"original language\", \"English language\"],\n [\"English language\", \"language of\", \"The Lion King (musical)\"],\n [\"The Lion King (musical)\", \"directed by\", \"Julie Taymor\"],\n [\"Julie Taymor\", \"occupation\", \"thea... |
[
"Q4996800",
"P54",
"Q213417"
] | [
"Q1044930",
"P54",
"Q213417"
] | [
"Q1044930",
"P19",
"Q714628"
] | [
"Bullet Joe Bush",
"member of sports team",
"New York Yankees"
] | [
"Ryota Igarashi",
"member of sports team",
"New York Yankees"
] | [
"Ryota Igarashi",
"place of birth",
"Rumoi"
] | Q213417__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 Bullet Joe Bush, the American baseball player, and someone who was born in Rumoi? | Bullet Joe Bush | Rumoi | place of birth | Query: What are different ways of connecting Bullet Joe Bush, the American baseball player, and someone who was born in Rumoi?
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 ... | 390 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Bullet Joe Bush\",\n \"played for\",\n \"New York Yankees\"\n ],\n [\n \"New York Yankees\",\n \"employed\",\n \"Hideki Matsui\"\n ],\n [\n \"Hideki Matsui\",\n \"nicknamed\",\n \"Godzilla\"\n ],\n [\n ... |
[
"Q319283",
"P166",
"Q935843"
] | [
"Q342723",
"P166",
"Q935843"
] | [
"Q342723",
"P26",
"Q6116204"
] | [
"Charlie Haden",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Gene Autry",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Gene Autry",
"spouse",
"Jackie Autry"
] | 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 Charlie Haden, the renowned jazz double bassist, and someone who is the spouse of Gene Autry? | Charlie Haden | Jackie Autry | spouse | Query: What are different ways of connecting Charlie Haden, the renowned jazz double bassist, and someone who is the spouse of Gene Autry?
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... | 391 | {"final_response": "```json\n{\n \"1\": [\n [\"Charlie Haden\", \"collaborated with\", \"Rosanne Cash\"],\n [\"Rosanne Cash\", \"child of\", \"Johnny Cash\"],\n [\"Johnny Cash\", \"member of\", \"Country Music Hall of Fame\"],\n [\"Gene Autry\", \"member of\", \"Country Music Hall of Fame\"],\n [\"Gene ... |
[
"Q33026707",
"P40",
"Q440"
] | [
"Q3945880",
"P40",
"Q440"
] | [
"Q3945880",
"P22",
"Q1969917"
] | [
"Laura Gossens Uribe",
"child",
"Salvador Allende"
] | [
"Salvador Allende Castro",
"child",
"Salvador Allende"
] | [
"Salvador Allende Castro",
"father",
"Ramón Allende Padín"
] | Q440__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 Laura Gossens Uribe and someone who is the father of Ramón Allende Padín? | Laura Gossens Uribe | Ramón Allende Padín | father | Query: What are different ways of connecting Laura Gossens Uribe and someone who is the father of Ramón Allende Padín?
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 th... | 392 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Laura Gossens Uribe\",\n \"spouse\",\n \"Salvador Allende Castro\"\n ],\n [\n \"Salvador Allende Castro\",\n \"son of\",\n \"Ram\u00f3n Allende Pad\u00edn\"\n ],\n [\n \"Ram\u00f3n Allende Pad\u00edn\",\n \"son of\... |
[
"Q147235",
"P161",
"Q6184114"
] | [
"Q147235",
"P161",
"Q6799159"
] | [
"Q6799159",
"P19",
"Q16557"
] | [
"How I Met Your Mother",
"cast member",
"Jerry Minor"
] | [
"How I Met Your Mother",
"cast member",
"Maïté Schwartz"
] | [
"Maïté Schwartz",
"place of birth",
"Dallas"
] | 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 Jerry Minor, the American actor and comedian, and someone who was born in Dallas? | Jerry Minor | Dallas | place of birth | Query: What are different ways of connecting Jerry Minor, the American actor and comedian, and someone who was born in Dallas?
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 ... | 393 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jerry Minor\", \"acted in\", \"Anchorman: The Legend of Ron Burgundy\"],\n [\"Anchorman: The Legend of Ron Burgundy\", \"cast member\", \"Luke Wilson\"],\n [\"Luke Wilson\", \"place of birth\", \"Dallas\"]\n ],\n \"2\": [\n [\"Jerry Minor\", \"acted in\", \... |
[
"Q11426176",
"P2175",
"Q12078"
] | [
"Q256502",
"P2175",
"Q12078"
] | [
"Q256502",
"P703",
"Q15381615"
] | [
"prednisolone",
"medical condition treated",
"cancer"
] | [
"alpha-linolenic acid",
"medical condition treated",
"cancer"
] | [
"alpha-linolenic acid",
"found in taxon",
"Thalictrum revolutum"
] | Q12078__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 prednisolone, a medication, and a substance that is found in the taxon Thalictrum revolutum? | prednisolone | Thalictrum revolutum | found in taxon | Query: What are different ways of connecting prednisolone, a medication, and a substance that is found in the taxon Thalictrum revolutum?
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 ... | 394 | {"final_response": "<answer>\n{\n \"1\": [\n [\"prednisolone\", \"interacts with\", \"Berberine\"],\n [\"Berberine\", \"found in taxon\", \"Thalictrum revolutum\"]\n ],\n \"2\": [\n [\"prednisolone\", \"treats\", \"Ulcerative colitis\"],\n [\"Ulcerative colitis\", \"treated by\", \"Berberine\"],\n [\"... |
[
"Q8612",
"P39",
"Q11699"
] | [
"Q310841",
"P39",
"Q11699"
] | [
"Q310841",
"P19",
"Q995231"
] | [
"Andrew Johnson",
"position held",
"Vice President of the United States"
] | [
"Garret Hobart",
"position held",
"Vice President of the United States"
] | [
"Garret Hobart",
"place of birth",
"Long Branch"
] | 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 Andrew Johnson, the 17th President of the United States, and someone who was born in Long Branch? | Andrew Johnson | Long Branch | place of birth | Query: What are different ways of connecting Andrew Johnson, the 17th President of the United States, and someone who was born in Long Branch?
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... | 395 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Andrew Johnson\",\n \"held office\",\n \"Vice President of the United States\"\n ],\n [\n \"Garret Hobart\",\n \"held office\",\n \"Vice President of the United States\"\n ],\n [\n \"Garret Hobart\",\n \"place of ... |
[
"Q21066715",
"P162",
"Q104033835"
] | [
"Q192682",
"P162",
"Q104033835"
] | [
"Q104033835",
"P19",
"Q24639"
] | [
"Don Granger",
"producer",
"The Adam Project"
] | [
"Ryan Reynolds",
"producer",
"The Adam Project"
] | [
"The Adam Project",
"place of birth",
"Vancouver"
] | Q104033835__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 The Adam Project, a film, and someone who was born in Vancouver? | The Adam Project | Vancouver | place of birth | Query: What are different ways of connecting The Adam Project, a film, and someone who was born in Vancouver?
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... | 396 | {"final_response": "```json\n{\n \"1\": [\n [\"The Adam Project\", \"cast member\", \"Ryan Reynolds\"],\n [\"Ryan Reynolds\", \"place of birth\", \"Vancouver\"]\n ],\n \"2\": [\n [\"The Adam Project\", \"cast member\", \"Mark Ruffalo\"],\n [\"Mark Ruffalo\", \"cast member\", \"The Avengers\"],\n [\"Th... |
[
"Q10853588",
"P39",
"Q11699"
] | [
"Q36023",
"P39",
"Q11699"
] | [
"Q36023",
"P106",
"Q18814623"
] | [
"Kamala Harris",
"position held",
"Vice President of the United States"
] | [
"Calvin Coolidge",
"position held",
"Vice President of the United States"
] | [
"Calvin Coolidge",
"occupation",
"autobiographer"
] | 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 Kamala Harris, the Vice President of the United States, and someone who has worked as an autobiographer? | Kamala Harris | autobiographer | occupation | Query: What are different ways of connecting Kamala Harris, the Vice President of the United States, and someone who has worked as an autobiographer?
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... | 397 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Kamala Harris\", \"occupation\", \"autobiographer\"]\n ],\n \"2\": [\n [\"Kamala Harris\", \"running mate of\", \"Joe Biden\"],\n [\"Joe Biden\", \"occupation\", \"autobiographer\"]\n ],\n \"3\": [\n [\"Kamala Harris\", \"succeeded\", \"Mike Pence\"],\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:
380 - End Index:
400
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s380__e400__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("s380_e400_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 05:42:01 using the inference pipeline with the above configuration.
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