Triple

T35751973
Position Surface form Disambiguated ID Type / Status
Subject European Drivers’ Championship E1033341 entity
Predicate principalDriversTitleBefore P2939 FINISHED
Object Formula One World Championship NE NERFINISHED

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: Formula One World Championship | Statement: [European Drivers’ Championship, principalDriversTitleBefore, Formula One World Championship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: principalDriversTitleBefore
Context triple: [European Drivers’ Championship, principalDriversTitleBefore, Formula One World Championship]
  • A. previousTitle chosen
    Indicates that one title held or used by an entity directly preceded another title in sequence or time.
  • B. drivers
    Indicates that one entity operates or controls a vehicle or means of transport for another entity or in a given context.
  • C. hasFormerDriver
    Indicates that an entity previously served as a driver for another entity but no longer holds that role.
  • D. hasPrimaryDriver
    Indicates that an entity is designated as the main or principal driver responsible for operating another entity, typically a vehicle.
  • E. formerDriverOwner
    Indicates that an entity once owned a driver (e.g., a vehicle driver or software driver) but no longer does so.
  • 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_69f7a197aee48190bbd69f670a3f7721 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.