Triple

T22225656
Position Surface form Disambiguated ID Type / Status
Subject Yamato Sanzan E549330 entity
Predicate near P350 FINISHED
Object Asuka area NE NERFINISHED

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: Asuka area | Statement: [Yamato Sanzan, near, Asuka area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asuka area
Context triple: [Yamato Sanzan, near, Asuka area]
  • A. Asuka area chosen
    The Asuka area is a historic region in Nara Prefecture, Japan, renowned as one of the cradles of early Japanese civilization and the Asuka period, featuring numerous ancient tombs, temples, and archaeological sites.
  • B. Kasuga area
    The Kasuga area is a neighborhood in Bunkyo, Tokyo, known for its mix of residential streets, local shops, and proximity to several educational and cultural institutions.
  • C. Nankō area
    The Nankō area is a coastal district in Osaka, Japan, known for its artificial islands, port facilities, and commercial and recreational developments.
  • D. Awaji area
    Awaji area is a neighborhood within Osaka known for its busy railway junction, local shopping streets, and residential character.
  • E. Kishinosato area
    Kishinosato area is a residential neighborhood in Osaka’s Nishinari Ward known for its traditional shopping streets and convenient access to central Osaka.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bee8de8819091ec5d14ea057f9e completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.