Triple

T5764657
Position Surface form Disambiguated ID Type / Status
Subject M-Line E127180 entity
Predicate hasVehiclePowerSource P8164 FINISHED
Object electricity 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: electricity | Statement: [M-Line, hasVehiclePowerSource, electricity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVehiclePowerSource
Context triple: [M-Line, hasVehiclePowerSource, electricity]
  • A. hasPowerSource chosen
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • B. hasElectricCharge
    Indicates that an entity possesses a nonzero electric charge as a physical property.
  • C. electricalPower
    Indicates that one entity supplies, carries, or is associated with electrical power to or for another entity.
  • D. electrificationSystem
    Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
  • E. usesElectricityFor
    Indicates that one entity relies on or employs electricity as the power source to operate, perform a function, or carry out an activity for another entity or purpose.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0296fa3e881909359bc39892ccc18 completed March 22, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69c021cc68648190bb86d049ebe80f12 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:49 p.m.