Triple

T2873675
Position Surface form Disambiguated ID Type / Status
Subject Shibuya City E56823 entity
Predicate railHub P523 FINISHED
Object Ebisu Station E289230 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: Ebisu Station | Statement: [Shibuya City, railHub, Ebisu Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebisu Station
Context triple: [Shibuya City, railHub, Ebisu Station]
  • A. Ebisu Station chosen
    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.
  • 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. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • D. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • E. Hiroo Station
    Hiroo Station is a subway station in Tokyo, Japan, serving the Hiroo district on the Tokyo Metro Hibiya Line.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69c870539eb08190936adcfbab395654 completed March 29, 2026, 12:20 a.m.
Created at: March 6, 2026, 10:03 p.m.