Triple

T18191937
Position Surface form Disambiguated ID Type / Status
Subject Kongōbu-ji E435556 entity
Predicate originallyFoundedAs P364 FINISHED
Object 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.
E1532658 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: Seigan-ji | Statement: [Kongōbu-ji, originallyFoundedAs, Seigan-ji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seigan-ji
Context triple: [Kongōbu-ji, originallyFoundedAs, Seigan-ji]
  • A. Shōryū-ji
    Shōryū-ji is a Buddhist temple in Japan, known as Temple 36 on the Shikoku Pilgrimage.
  • B. Daikō-ji
    Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
  • C. Shōsan-ji
    Shōsan-ji is a Buddhist temple in Tokushima Prefecture, Japan, known as Temple 12 on the Shikoku Pilgrimage.
  • D. Juraku-ji
    Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
  • E. Ryōzenji
    Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
  • 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: Seigan-ji
Triple: [Kongōbu-ji, originallyFoundedAs, Seigan-ji]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seigan-ji
Target entity description: 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.
  • A. Shōryū-ji
    Shōryū-ji is a Buddhist temple in Japan, known as Temple 36 on the Shikoku Pilgrimage.
  • B. Daikō-ji
    Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
  • C. Shōsan-ji
    Shōsan-ji is a Buddhist temple in Tokushima Prefecture, Japan, known as Temple 12 on the Shikoku Pilgrimage.
  • D. Juraku-ji
    Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
  • E. Ryōzenji
    Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d05974819094b4a50d081be881 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae0407a988190af49f57bd8fbdd64 completed May 18, 2026, 9:47 a.m.
NEDg Description generation batch_6a0ae2e2883c81908a6fea37f8db7f1a completed May 18, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae3855838819080bf6883946b62f7 completed May 18, 2026, 10:01 a.m.
Created at: April 10, 2026, 10:31 a.m.