Triple

T3372429
Position Surface form Disambiguated ID Type / Status
Subject Minato E70984 entity
Predicate hasTransportationHub P2413 FINISHED
Object Shinbashi Station E525299 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: Shinbashi Station | Statement: [Minato, hasTransportationHub, Shinbashi Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinbashi Station
Context triple: [Minato, hasTransportationHub, Shinbashi Station]
  • A. Shinagawa Station
    Shinagawa Station is a major railway and transportation hub in Tokyo, Japan, serving multiple JR and private lines as well as Shinkansen high-speed trains.
  • B. Shimbashi Station chosen
    Shimbashi Station is a major railway hub in Tokyo, Japan, known as one of the city’s oldest stations and an important gateway between central Tokyo and the wider rail network.
  • C. Kyobashi Station
    Kyobashi Station is a major railway hub in Osaka, Japan, serving multiple JR West, Keihan, and Osaka Metro lines and connecting central Osaka with surrounding areas.
  • D. Itabashi Station
    Itabashi Station is a railway station in Tokyo, Japan, known as a stop on major commuter lines connecting central Tokyo with its northern suburbs.
  • E. Higashi-Ueno Station
    Higashi-Ueno Station is a subway station in Tokyo, Japan, serving the Higashi-Ueno district of Taitō Ward 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bc9bc881908b22edd631a1c110 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c2fa16c8190b03ed4d47b6090e7 completed March 28, 2026, 8:38 p.m.
Created at: March 8, 2026, 3:13 p.m.