Triple

T2686894
Position Surface form Disambiguated ID Type / Status
Subject Philosopher's Path E57503 entity
Predicate hasNearby P350 FINISHED
Object Honen-in E286069 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: Honen-in | Statement: [Philosopher's Path, hasNearby, Honen-in]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honen-in
Context triple: [Philosopher's Path, hasNearby, Honen-in]
  • A. Honen-in chosen
    Honen-in is a tranquil, moss-covered Buddhist temple in Kyoto known for its serene gardens and understated, contemplative atmosphere.
  • B. Gyōki
    Gyōki was an influential Japanese Buddhist monk of the Nara period known for his public works, social welfare activities, and role in promoting Buddhism among the common people.
  • C. 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.
  • D. 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.
  • E. Daisan Shōhōtei
    Daisan Shōhōtei is the Third Petty Bench of the Supreme Court of Japan, one of its small panels responsible for hearing specific categories of cases.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f080108190ab662a3a064cb5a9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa07228088190bb4942b3a25c938b completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.