Triple

T3499117
Position Surface form Disambiguated ID Type / Status
Subject Chuo Line (Osaka Metro) E73920 entity
Predicate hasStation P35 FINISHED
Object Bentencho Station E599128 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: Bentencho Station | Statement: [Chuo Line (Osaka Metro), hasStation, Bentencho Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentencho Station
Context triple: [Chuo Line (Osaka Metro), hasStation, Bentencho Station]
  • A. Bentencho Station chosen
    Bentencho Station is a railway station in Osaka, Japan, serving as an interchange between the Osaka Loop Line and other local lines.
  • B. Ebisucho Station
    Ebisucho Station is a railway station in Osaka, Japan, serving as a convenient access point to the Shinsekai entertainment district and nearby attractions.
  • C. Bashamichi Station
    Bashamichi Station is an underground railway station in Yokohama, Japan, providing access to the Minato Mirai waterfront district and surrounding urban attractions.
  • D. Ebisu Station
    Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
  • E. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd3ad548190abbfae820bf3b66d completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc01e1b88190817a73e580cf4f03 completed April 2, 2026, 8:05 p.m.
Created at: March 8, 2026, 3:18 p.m.