Triple

T6312741
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro 8000 series E141542 entity
Predicate safetySystem P840 FINISHED
Object Tobu ATS E532684 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: Tobu ATS | Statement: [Tokyo Metro 8000 series, safetySystem, Tobu ATS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobu ATS
Context triple: [Tokyo Metro 8000 series, safetySystem, Tobu ATS]
  • A. Tobu ATS chosen
    Tobu ATS is an automatic train stop safety system used on Tobu Railway lines in Japan to prevent collisions and signal overruns.
  • B. Tobu 9000 series
    The Tobu 9000 series is a Japanese electric multiple unit train type operated by Tobu Railway, commonly used for inter-running services with Tokyo Metro lines in the Tokyo metropolitan area.
  • C. Tokyu ATS
    Tokyu ATS is an automatic train stop safety system used on Tokyu Corporation and compatible railway lines to prevent trains from passing signals at danger and to enhance operational safety.
  • D. Tobu 50050 series
    The Tobu 50050 series is a Japanese electric multiple unit train operated by Tobu Railway, designed for through-services with Tokyo Metro and known for its modern commuter-oriented features.
  • E. Tobu Railway
    Tobu Railway is a major private railway company in Japan that operates extensive rail networks in the Greater Tokyo area and surrounding regions.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0649ea98c819086509e175812c6c0 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e469355c81908049e0c68a8c0259 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:28 p.m.