Triple

T35754208
Position Surface form Disambiguated ID Type / Status
Subject Extreme E E1033396 entity
Predicate vehiclePowerOutput P43755 FINISHED
Object 400 kW 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: 400 kW | Statement: [Extreme E, vehiclePowerOutput, 400 kW]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vehiclePowerOutput
Context triple: [Extreme E, vehiclePowerOutput, 400 kW]
  • A. vehiclePower chosen
    Indicates the amount or type of power a vehicle can produce or is rated to deliver.
  • B. enginePower
    Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
  • C. vehiclePowerCollection
    Indicates a relationship where a vehicle is associated with a set or collection of its power-related components, sources, or specifications.
  • D. powertrainOutput
    Indicates the relationship where a powertrain produces or delivers mechanical or electrical output (such as torque, power, or motion) to another component or system.
  • E. shaftPowerType
    Indicates the type or category of power transmitted through a shaft in a mechanical or propulsion system.
  • 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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a199ab248190acb81776a46011bf completed May 3, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69f7a070e23881909a233370acb57384 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:06 p.m.