Triple

T14975101
Position Surface form Disambiguated ID Type / Status
Subject Koyasan Okunoin E373424 entity
Predicate locatedIn P40 FINISHED
Object Koya, Wakayama Prefecture E369882 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: Koya, Wakayama Prefecture | Statement: [Koyasan Okunoin, locatedIn, Koya, Wakayama Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koya, Wakayama Prefecture
Context triple: [Koyasan Okunoin, locatedIn, Koya, Wakayama Prefecture]
  • A. Koyasan, Wakayama Prefecture chosen
    Koyasan in Wakayama Prefecture is a major Buddhist monastic complex and sacred mountain plateau that serves as the spiritual center of Shingon Buddhism in Japan.
  • B. Kōka, Shiga Prefecture
    Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
  • C. Kaga, Ishikawa
    Kaga, Ishikawa is a city in Ishikawa Prefecture, Japan, known for its historic hot spring resorts and traditional crafts.
  • D. Konan, Shiga
    Konan, Shiga is a city in Japan known for its rural landscapes, historical temples, and location in the southern part of Shiga Prefecture.
  • E. Koga, Fukuoka
    Koga, Fukuoka is a suburban city in Fukuoka Prefecture, Japan, known as a residential and commuter area within the Fukuoka metropolitan region.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beac05c8190bf19ec8bd1eab2d8 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:51 a.m.