Triple

T10278840
Position Surface form Disambiguated ID Type / Status
Subject Itabashi, Tokyo E241039 entity
Predicate hasStation P35 FINISHED
Object Itabashi Station E296711 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: Itabashi Station | Statement: [Itabashi, Tokyo, hasStation, Itabashi Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itabashi Station
Context triple: [Itabashi, Tokyo, hasStation, Itabashi Station]
  • A. Itabashi Station chosen
    Itabashi Station is a railway station in Tokyo, Japan, known as a stop on major commuter lines connecting central Tokyo with its northern suburbs.
  • B. Nagatachō Station
    Nagatachō Station is a major Tokyo Metro subway station in central Tokyo that serves the government district near the National Diet and numerous ministry buildings.
  • C. Asashiobashi Station
    Asashiobashi Station is a railway station on Osaka's Chūō Line, serving the local area in Konohana-ku, Osaka, Japan.
  • D. Meiji-jingumae Station
    Meiji-jingumae Station is a major Tokyo subway station in the Harajuku/Meiji Shrine area, serving as a key access point to popular shopping and cultural districts.
  • E. Yodoyabashi Station
    Yodoyabashi Station is a major underground railway hub in central Osaka, Japan, serving both Osaka Metro and private railway lines and providing access to the city’s main business district.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29fdf2c819099dd581deac08cf2 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7304bc684819083ca999f283b0cb3 completed May 3, 2026, 11:23 a.m.
Created at: April 6, 2026, 11:38 a.m.