Triple

T22922749
Position Surface form Disambiguated ID Type / Status
Subject 木津川市 E568907 entity
Predicate hasHistoricSite P1098 FINISHED
Object 浄瑠璃寺
浄瑠璃寺は、京都府木津川市にある九体阿弥陀如来像や三重塔で知られる平安時代創建の古寺です。
 E1562465 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: 浄瑠璃寺 | Statement: [木津川市, hasHistoricSite, 浄瑠璃寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 浄瑠璃寺
Context triple: [木津川市, hasHistoricSite, 浄瑠璃寺]
  • A. Seigan-ji
    Seigan-ji is an early Buddhist temple on Japan’s Mount Kōya that served as the predecessor to the prominent Shingon headquarters temple Kongōbu-ji.
  • B. Rinnō-ji
    Rinnō-ji is a historic Buddhist temple complex in Nikkō, Japan, renowned for its ornate halls, important religious statues, and role within the UNESCO-listed Nikkō shrine and temple area.
  • C. Enmyō-ji
    Enmyō-ji is a Buddhist temple in Japan best known as Temple 53 on the Shikoku Pilgrimage.
  • D. Zenrin-ji
    Zenrin-ji, commonly known as Eikan-dō, is a historic Jōdo-sect Buddhist temple in Kyoto famed for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
  • E. Daikō-ji
    Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
  • 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: 浄瑠璃寺
Triple: [木津川市, hasHistoricSite, 浄瑠璃寺]
Generated description
浄瑠璃寺は、京都府木津川市にある九体阿弥陀如来像や三重塔で知られる平安時代創建の古寺です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 浄瑠璃寺
Target entity description: 浄瑠璃寺は、京都府木津川市にある九体阿弥陀如来像や三重塔で知られる平安時代創建の古寺です。
  • A. Seigan-ji
    Seigan-ji is an early Buddhist temple on Japan’s Mount Kōya that served as the predecessor to the prominent Shingon headquarters temple Kongōbu-ji.
  • B. Rinnō-ji
    Rinnō-ji is a historic Buddhist temple complex in Nikkō, Japan, renowned for its ornate halls, important religious statues, and role within the UNESCO-listed Nikkō shrine and temple area.
  • C. Enmyō-ji
    Enmyō-ji is a Buddhist temple in Japan best known as Temple 53 on the Shikoku Pilgrimage.
  • D. Zenrin-ji
    Zenrin-ji, commonly known as Eikan-dō, is a historic Jōdo-sect Buddhist temple in Kyoto famed for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
  • E. Daikō-ji
    Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d6841c81908df6d4e501860a15 completed April 29, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc245a0548190a786f56114ea88ac completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc35c3ea08190a3b9111297774e6c completed May 19, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc4415f288190a4dab3885ec931ca completed May 19, 2026, 2 a.m.
Created at: April 17, 2026, 3:43 p.m.