Triple

T2978788
Position Surface form Disambiguated ID Type / Status
Subject Abeno Harukas E80459 entity
Predicate near P350 FINISHED
Object Osaka Abenobashi Station E678254 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: Osaka Abenobashi Station | Statement: [Abeno Harukas, near, Osaka Abenobashi Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Abenobashi Station
Context triple: [Abeno Harukas, near, Osaka Abenobashi Station]
  • A. Abeno Station chosen
    Abeno Station is a railway station in Osaka, Japan, serving as a local transit hub with convenient access to nearby shopping and commercial complexes.
  • B. Motomachi Station
    Motomachi Station is a railway station in Japan that serves the Motomachi district, providing local and regional train access for commuters and visitors.
  • C. Tennoji Station
    Tennoji Station is a major railway and transportation hub in Osaka, Japan, serving multiple JR, subway, and private railway lines and connecting key commercial and tourist areas.
  • D. Osaki Station
    Osaki Station is a major railway hub in Tokyo, Japan, serving multiple JR East lines and connecting central Tokyo with surrounding suburban areas.
  • E. Nishinomiya Station
    Nishinomiya Station is a railway station in Nishinomiya, Hyōgo Prefecture, Japan, serving as a local transit hub on major regional rail lines.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9161f95a08190b68772a507936046 completed March 29, 2026, 12:07 p.m.
Created at: March 8, 2026, 2:58 p.m.