Triple

T35754175
Position Surface form Disambiguated ID Type / Status
Subject McLaren Applied Technologies (Gen2) E1033395 entity
Predicate powertrainComponent P34264 FINISHED
Object energy storage system 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: energy storage system | Statement: [McLaren Applied Technologies (Gen2), powertrainComponent, energy storage system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powertrainComponent
Context triple: [McLaren Applied Technologies (Gen2), powertrainComponent, energy storage system]
  • A. powertrainComponentOf chosen
    Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
  • B. powertrainCategory
    Indicates the classification of a vehicle’s powertrain based on how it delivers propulsion (e.g., internal combustion, hybrid, electric).
  • C. powertrainProduction
    Indicates a relationship where an entity is involved in the manufacturing or assembly of a vehicle’s powertrain components.
  • 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. powertrainOrigin
    Indicates that one entity is the source or place of origin of another entity’s powertrain.
  • 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_69fcda3699948190adb57625bae08091 completed May 7, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69fcd8fd16d08190b0aca6e19a632e99 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:06 p.m.