Triple

T8976850
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Chiyoda Line E214411 entity
Predicate hasStation P35 FINISHED
Object Nogizaka Station E556443 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: Nogizaka Station | Statement: [Tokyo Metro Chiyoda Line, hasStation, Nogizaka Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogizaka Station
Context triple: [Tokyo Metro Chiyoda Line, hasStation, Nogizaka Station]
  • A. Nogizaka Station chosen
    Nogizaka Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Chiyoda Line and providing convenient access to nearby cultural sites and museums.
  • B. Jujo Station
    Jujo Station is a railway station in Kita, Tokyo, Japan, operated by JR East and known for serving the busy Saikyo Line.
  • C. Tenri Station
    Tenri Station is a railway station in Tenri, Nara Prefecture, Japan, serving as a local transit hub on regional rail lines.
  • D. Narutō Station
    Narutō Station is a railway station in Chiba Prefecture, Japan, serving as a regional transport hub on JR East lines including the Sōbu Line Rapid.
  • E. Yotsubashi Station
    Yotsubashi Station is an Osaka Metro subway station in Osaka, Japan, serving the Yotsubashi Line near the bustling Shinsaibashi and Namba districts.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6786c880819088393bb107a7364c completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96aa46c81908b95a23fd2b4da57 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.