Triple

T11934306
Position Surface form Disambiguated ID Type / Status
Subject 文京区 E283998 entity
Predicate hasMajorShrineOrTemple P48433 FINISHED
Object 白山神社
白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
 E954812 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: 白山神社 | Statement: [文京区, hasMajorShrineOrTemple, 白山神社]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 白山神社
Context triple: [文京区, hasMajorShrineOrTemple, 白山神社]
  • A. 八坂神社
    八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
  • B. 日枝神社
    日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
  • C. 稲荷神社
    稲荷神社 is a type of Shinto shrine in Japan dedicated to the deity Inari, commonly associated with rice, prosperity, and fox spirits, and often marked by rows of vermilion torii gates.
  • D. 意賀美神社
    意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
  • E. Oyama Shrine
    Oyama Shrine is a historic Shinto shrine in Kanazawa, Japan, renowned for its distinctive gate that blends Japanese, Chinese, and Western architectural styles.
  • 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: 白山神社
Triple: [文京区, hasMajorShrineOrTemple, 白山神社]
Generated description
白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 白山神社
Target entity description: 白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
  • A. 八坂神社
    八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
  • B. 日枝神社
    日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
  • C. 稲荷神社
    稲荷神社 is a type of Shinto shrine in Japan dedicated to the deity Inari, commonly associated with rice, prosperity, and fox spirits, and often marked by rows of vermilion torii gates.
  • D. 意賀美神社
    意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
  • E. Oyama Shrine
    Oyama Shrine is a historic Shinto shrine in Kanazawa, Japan, renowned for its distinctive gate that blends Japanese, Chinese, and Western architectural styles.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
NEDg Description generation batch_69f448fc874081908fe05f9d8aff11a3 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44afdc7b08190bdf47cfcb94c34c8 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.