Triple

T15440387
Position Surface form Disambiguated ID Type / Status
Subject Koyasan, Wakayama Prefecture E369882 entity
Predicate hasAlternativeName P39 FINISHED
Object Kōyasan E389565 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: Kōyasan | Statement: [Koyasan, Wakayama Prefecture, hasAlternativeName, Kōyasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kōyasan
Context triple: [Koyasan, Wakayama Prefecture, hasAlternativeName, Kōyasan]
  • A. Mount Kōya chosen
    Mount Kōya is a sacred mountainous temple complex in Japan that serves as the spiritual headquarters of Shingon Buddhism and a major pilgrimage destination.
  • B. Yamatokoriyama
    Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
  • C. Matsushima
    Matsushima was a Japanese protected cruiser that served as a flagship of the Imperial Japanese Navy during the First Sino-Japanese War.
  • D. Koyasan Okunoin
    Koyasan Okunoin is one of Japan’s most sacred Buddhist sites, a vast forest cemetery and pilgrimage destination on Mount Koya associated with the revered monk Kobo Daishi.
  • E. Kumano
    Kumano is a coastal city in Japan’s Mie Prefecture known for its scenic Kumano Kodo pilgrimage routes and rugged natural landscapes.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8759922c8190ae5a5700e3ecc87c completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 3:21 a.m.