Triple

T10817688
Position Surface form Disambiguated ID Type / Status
Subject Hakone E255274 entity
Predicate hasAttraction P105 FINISHED
Object Hakone Shrine E939771 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: Hakone Shrine | Statement: [Hakone, hasAttraction, Hakone Shrine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hakone Shrine
Context triple: [Hakone, hasAttraction, Hakone Shrine]
  • A. Hakone Shrine chosen
    Hakone Shrine is a historic Shinto shrine in Japan, famed for its lakeside torii gates set against Lake Ashi and Mount Fuji.
  • B. Atago Shrine
    Atago Shrine is a historic Shinto shrine in Tokyo known for its steep stone stairway and hilltop location offering views over the city.
  • C. Ontake Shrine
    Ontake Shrine is a Shinto shrine complex associated with the sacred Mount Ontake in Japan, serving as a major center for mountain worship and pilgrimage.
  • D. Oyama Shrine
    Oyama Shrine is a historic Shinto shrine in Kanazawa, Japan, renowned for its distinctive gate that blends Japanese, Chinese, and Western architectural styles.
  • E. Wakamiya Shrine
    Wakamiya Shrine is a subsidiary Shinto shrine within the Tsurugaoka Hachimangū complex in Kamakura, Japan, known for its historical and religious significance.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7344866f88190be4addb7c8020fce completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8185c6e08190949020a80c24f2b8 completed April 27, 2026, 3:32 p.m.
Created at: April 8, 2026, 9:18 p.m.