Triple

T16728591
Position Surface form Disambiguated ID Type / Status
Subject Saichō E406526 entity
Predicate associatedWithTemple P13905 FINISHED
Object Enryaku-ji NE NERFINISHED

How this triple was built (2 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: Enryaku-ji | Statement: [Saichō, associatedWithTemple, Enryaku-ji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enryaku-ji
Context triple: [Saichō, associatedWithTemple, Enryaku-ji]
  • A. Enryaku-ji chosen
    Enryaku-ji is a historic Tendai Buddhist monastery complex on Mount Hiei, renowned as a UNESCO World Heritage Site and one of Japan’s most important religious centers.
  • B. Enmyō-ji
    Enmyō-ji is a Buddhist temple in Japan best known as Temple 53 on the Shikoku Pilgrimage.
  • C. Shitenno-ji
    Shitenno-ji is one of Japan’s oldest Buddhist temples, founded in Osaka in the 6th century and renowned as a major historical and religious site.
  • D. Ryōzenji
    Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
  • E. Daihō-ji
    Daihō-ji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:20 a.m.