Triple

T11407408
Position Surface form Disambiguated ID Type / Status
Subject Jimbocho book district E270273 entity
Predicate servedBy P82 FINISHED
Object Jimbocho Station NE NERFINISHED

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: Jimbocho Station | Statement: [Jimbocho book district, servedBy, Jimbocho Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimbocho Station
Context triple: [Jimbocho book district, servedBy, Jimbocho Station]
  • A. Jimbocho Station chosen
    Jimbocho Station is a major Tokyo subway hub in the Chiyoda ward, serving multiple lines and providing convenient access to nearby educational, cultural, and business districts.
  • B. Kitasando Station
    Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
  • C. Jujo Station
    Jujo Station is a railway station in Kita, Tokyo, Japan, operated by JR East and known for serving the busy Saikyo Line.
  • D. Saiin Station
    Saiin Station is a railway station in Kyoto, Japan, served by the Hankyu Kyoto Main Line and located in the city’s central urban area.
  • E. Tabata Station
    Tabata Station is a railway station in Tokyo, Japan, served by JR East and known as one of the stops on the busy Yamanote Line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
Created at: April 8, 2026, 9:34 p.m.