Triple

T6116987
Position Surface form Disambiguated ID Type / Status
Subject Kizugawa E136382 entity
Predicate hasCulturalProperty P20656 FINISHED
Object Gansen-ji E573806 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: Gansen-ji | Statement: [Kizugawa, hasCulturalProperty, Gansen-ji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gansen-ji
Context triple: [Kizugawa, hasCulturalProperty, Gansen-ji]
  • A. Gansen-ji chosen
    Gansen-ji is a historic Buddhist temple in Kizugawa, Kyoto Prefecture, known for its ancient architecture and scenic, seasonally changing temple grounds.
  • B. Kenchō-ji
    Kenchō-ji is a historic Zen Buddhist temple in Kamakura, Japan, renowned as one of the oldest and most important Zen training monasteries in the country.
  • C. Honpuku-ji
    Honpuku-ji is a renowned Buddhist temple on Japan’s Awaji Island, famous for its minimalist “Water Temple” designed by architect Tadao Ando.
  • D. Kozan-ji
    Kozan-ji is a historic Buddhist temple in Kyoto, Japan, renowned for its ancient cultural treasures and inclusion in the UNESCO World Heritage listing of Kyoto’s monuments.
  • E. Ryōzenji
    Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05beb4cfc8190ab67a5338ec59cea completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603d90bcc81908f819a9e262ec17a completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:14 p.m.