Triple

T13290794
Position Surface form Disambiguated ID Type / Status
Subject 2014 Formula One season E316554 entity
Predicate regulationChange P81564 FINISHED
Object introduction of turbo-hybrid era 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: introduction of turbo-hybrid era | Statement: [2014 Formula One season, regulationChange, introduction of turbo-hybrid era]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulationChange
Context triple: [2014 Formula One season, regulationChange, introduction of turbo-hybrid era]
  • A. safetyRegulationChange
    Indicates a modification, update, or revision to existing safety regulations governing how something must be designed, operated, or managed.
  • B. regulationImpact
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • C. typeOfChangeRegulated
    Indicates that one entity specifies or controls the kind of change or modification that is allowed or governed in another entity or process.
  • D. regulationAtIssue
    Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
  • E. notableRegulatoryEvent chosen
    Indicates a significant regulatory action, decision, or change that has materially affected or is closely associated with the subject entity.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6893708190aeebf4c47386cff7 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:27 p.m.