Triple

T1153903
Position Surface form Disambiguated ID Type / Status
Subject Wakayama Prefecture E23738 entity
Predicate contains P35 FINISHED
Object Mount Koya E141662 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: Mount Koya | Statement: [Wakayama Prefecture, contains, Mount Koya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Koya
Context triple: [Wakayama Prefecture, contains, Mount Koya]
  • A. Koya town chosen
    Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
  • B. Nanzen-ji
    Nanzen-ji is a major Zen Buddhist temple complex in Kyoto, Japan, renowned for its historic architecture, serene gardens, and status as one of the most important Zen temples in the country.
  • C. Yakushi-ji
    Yakushi-ji is a major Buddhist temple in Nara, Japan, renowned as one of the country’s oldest and most important historic and architectural sites.
  • D. Kiyomizu-dera
    Kiyomizu-dera is a famous historic Buddhist temple in Kyoto, Japan, renowned for its large wooden stage that offers panoramic views of the city and surrounding hills.
  • E. To-ji
    To-ji is a historic Buddhist temple in Kyoto, Japan, famed for its five-story pagoda—the tallest wooden tower in the country—and its status as a UNESCO World Heritage Site.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8e9cb481908a528a828b21d497 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacacf7c4819089708cf61b89903c completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:44 p.m.