Triple

T14467797
Position Surface form Disambiguated ID Type / Status
Subject Chūō-dōri E358758 entity
Predicate transportAccess P1288 FINISHED
Object Nihonbashi 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: Nihonbashi Station | Statement: [Chūō-dōri, transportAccess, Nihonbashi Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nihonbashi Station
Context triple: [Chūō-dōri, transportAccess, Nihonbashi Station]
  • A. Nihonbashi Station chosen
    Nihonbashi Station is a major underground railway and subway interchange in central Tokyo, serving multiple Tokyo Metro and Toei lines near the historic Nihonbashi district.
  • B. 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.
  • C. Bandōbashi Station
    Bandōbashi Station is a subway station on the Yokohama Municipal Subway Blue Line serving the Bandōbashi area in Minami Ward, Yokohama, Japan.
  • D. 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.
  • E. Otemachi Station
    Otemachi Station is a major Tokyo railway hub where multiple Tokyo Metro lines intersect, serving as a key access point to the city’s central business district near Tokyo Station.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f8613c819080424104c0b7f4c3 completed April 14, 2026, 7:14 p.m.
Created at: April 10, 2026, 1:19 a.m.