Triple

T30245750
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro 16000 series E769046 entity
Predicate hasPantographType P111725 FINISHED
Object single-arm pantograph LITERAL 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: single-arm pantograph | Statement: [Tokyo Metro 16000 series, hasPantographType, single-arm pantograph]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPantographType
Context triple: [Tokyo Metro 16000 series, hasPantographType, single-arm pantograph]
  • A. hasPantograph chosen
    Indicates that one entity is equipped with or possesses a pantograph used for drawing power or making contact with an overhead system.
  • B. hasLiftType
    Indicates the specific type or category of lift associated with an entity.
  • C. pantographModification
    Indicates a modification or alteration made to a pantograph mechanism in relation to another entity or system.
  • D. hasRetractablePitch
    Indicates that an entity (typically a stadium or venue) possesses a playing surface or pitch that can be mechanically extended or withdrawn as needed.
  • E. hasRollingStockFeature
    Indicates that a piece of rolling stock possesses a specific feature, characteristic, or equipment.
  • F. None of above.

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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe08d2b2e48190ac7be6d62d4a44a3 completed May 8, 2026, 4:01 p.m.
PD Predicate disambiguation batch_69fe06cd3af08190ae25de0dc0cdd573 completed May 8, 2026, 3:52 p.m.
Created at: April 29, 2026, 7:39 p.m.