Triple

T3478597
Position Surface form Disambiguated ID Type / Status
Subject Yotsubashi Line E73434 entity
Predicate hasStation P35 FINISHED
Object Daikokuchō Station E527163 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: Daikokuchō Station | Statement: [Yotsubashi Line, hasStation, Daikokuchō Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daikokuchō Station
Context triple: [Yotsubashi Line, hasStation, Daikokuchō Station]
  • A. Daikokucho Station chosen
    Daikokucho Station is a railway station in Osaka, Japan, serving as a stop on the Osaka Metro network and providing convenient access to the city’s central districts.
  • B. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • C. Shiyakusho Station
    Shiyakusho Station is a subway station in Nagoya, Japan, serving the city hall area and providing convenient access to Nagoya Castle.
  • D. Kichijōji Station
    Kichijōji Station is a major railway hub in Tokyo’s Musashino area, serving multiple lines and providing access to the popular Kichijōji shopping and entertainment district as well as Inokashira Park.
  • E. Oimachi Station
    Oimachi Station is a major railway hub in Tokyo’s Shinagawa ward, serving multiple train and subway lines and connecting local neighborhoods with central and suburban areas of the city.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd93fee4c88190a00a71c146067eef completed April 1, 2026, 9:54 p.m.
Created at: March 8, 2026, 3:17 p.m.