Triple

T11685008
Position Surface form Disambiguated ID Type / Status
Subject Seibu Railway E277715 entity
Predicate majorTerminal P14282 FINISHED
Object Takadanobaba 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: Takadanobaba Station | Statement: [Seibu Railway, majorTerminal, Takadanobaba Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takadanobaba Station
Context triple: [Seibu Railway, majorTerminal, Takadanobaba Station]
  • A. Takadanobaba Station chosen
    Takadanobaba Station is a major railway hub in Tokyo’s Shinjuku ward, serving multiple lines and providing convenient access to nearby universities and commercial areas.
  • B. Nagatacho Station
    Nagatacho Station is a major Tokyo subway station in the Nagatachō district that serves as an important transfer hub near Japan’s political center, including the National Diet and government offices.
  • C. Tawaramachi Station
    Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
  • D. Marutamachi Station
    Marutamachi Station is an underground metro station on the Kyoto Municipal Subway network serving central Kyoto, Japan.
  • E. Nippombashi Station
    Nippombashi Station is a major subway and railway hub in Osaka, Japan, serving the bustling Nipponbashi Den Den Town electronics and otaku shopping district.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:40 p.m.