Triple

T29706225
Position Surface form Disambiguated ID Type / Status
Subject McLaren Artura E751635 entity
Predicate emissionsReductionGoal P99026 FINISHED
Object lower CO2 emissions compared to previous McLaren V8 models 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: lower CO2 emissions compared to previous McLaren V8 models | Statement: [McLaren Artura, emissionsReductionGoal, lower CO2 emissions compared to previous McLaren V8 models]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emissionsReductionGoal
Context triple: [McLaren Artura, emissionsReductionGoal, lower CO2 emissions compared to previous McLaren V8 models]
  • A. environmentalImpactGoal chosen
    Indicates a goal or target set to influence, reduce, or manage the environmental impact associated with an entity or activity.
  • B. environmentalProtectionGoal
    Indicates a goal or objective specifically aimed at protecting, preserving, or improving the natural environment.
  • C. hasConservationGoal
    Indicates that an entity is associated with or aims to achieve a specific conservation-related objective or target.
  • D. environmentalCommitment
    Indicates a relationship where an entity demonstrates dedication to protecting or improving the environment through its policies, actions, or practices.
  • E. errorReductionGoal
    Indicates that an entity has a target or objective to decrease the number or rate of errors relative to a current or baseline level.
  • 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_69f0d62748848190b030d0a703629a7d completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672d50f0c8190ba840e7c24470798 completed May 2, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 7:27 p.m.