Triple

T16837340
Position Surface form Disambiguated ID Type / Status
Subject 大鏡 E409316 entity
Predicate setting P1957 FINISHED
Object 平安京
平安京は、平安時代に日本の首都として栄えた京都市周辺に位置する古代の都城である。
 E1237458 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 平安京 | Statement: [大鏡, setting, 平安京]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 平安京
Context triple: [大鏡, setting, 平安京]
  • A. 守山市
    守山市 is a city in Shiga Prefecture, Japan, located on the southeastern shore of Lake Biwa and known for its residential communities and natural surroundings.
  • B. Beijing Perfect World
    Beijing Perfect World is a Chinese video game company best known for developing large-scale online role-playing games and other digital entertainment products.
  • C. 京都五花街
    京都五花街は、京都を代表する五つの花街（芸舞妓が所属する伝統的な歓楽街）の総称で、祇園甲部や先斗町などを含む日本有数の花街文化の中心地である。
  • D. 皇居
    皇居は、日本の天皇と皇室の公的な居所および宮中行事の中心となる東京都千代田区に位置する宮殿・庭園の総称である。
  • E. 成城
    成城 is an upscale residential neighborhood in Tokyo known for its quiet streets, affluent homes, and proximity to Seijo Gakuen educational institutions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 平安京
Triple: [大鏡, setting, 平安京]
Generated description
平安京は、平安時代に日本の首都として栄えた京都市周辺に位置する古代の都城である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 平安京
Target entity description: 平安京は、平安時代に日本の首都として栄えた京都市周辺に位置する古代の都城である。
  • A. 守山市
    守山市 is a city in Shiga Prefecture, Japan, located on the southeastern shore of Lake Biwa and known for its residential communities and natural surroundings.
  • B. Beijing Perfect World
    Beijing Perfect World is a Chinese video game company best known for developing large-scale online role-playing games and other digital entertainment products.
  • C. 京都五花街
    京都五花街は、京都を代表する五つの花街（芸舞妓が所属する伝統的な歓楽街）の総称で、祇園甲部や先斗町などを含む日本有数の花街文化の中心地である。
  • D. 皇居
    皇居は、日本の天皇と皇室の公的な居所および宮中行事の中心となる東京都千代田区に位置する宮殿・庭園の総称である。
  • E. 成城
    成城 is an upscale residential neighborhood in Tokyo known for its quiet streets, affluent homes, and proximity to Seijo Gakuen educational institutions.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34e080c8190bf7a236205b41db2 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb15c9f48190a4d73bb08a15beb4 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc4cdf8481909ad45b9c66234c9b completed May 10, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a00bcfcb434819092b85ce1debb9be8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:23 a.m.