Triple

T11790105
Position Surface form Disambiguated ID Type / Status
Subject Prince Saionji Kinmochi E280364 entity
Predicate burialPlace P196 FINISHED
Object Gokoku-ji E887093 NE FINISHED

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: Gokoku-ji | Statement: [Prince Saionji Kinmochi, burialPlace, Gokoku-ji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gokoku-ji
Context triple: [Prince Saionji Kinmochi, burialPlace, Gokoku-ji]
  • A. Gokokuji Temple chosen
    Gokokuji Temple is a historic Buddhist temple in Tokyo known for its well-preserved Edo-period architecture and tranquil grounds.
  • B. Daigo-ji
    Daigo-ji is a historic Buddhist temple complex in Kyoto, Japan, renowned for its association with Shingon Buddhism, ancient pagoda, and UNESCO World Heritage status.
  • C. Kyo-o-gokoku-ji
    Kyo-o-gokoku-ji is a historic Buddhist temple in Kyoto, Japan, renowned for its towering five-story pagoda and status as a UNESCO World Heritage Site.
  • D. 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.
  • E. Seiganto-ji Temple
    Seiganto-ji Temple is an ancient Buddhist temple in Wakayama Prefecture, Japan, famed for its picturesque pagoda standing before the dramatic Nachi Falls.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2527570819092314ee0a678e53c completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:42 p.m.