Triple

T35752431
Position Surface form Disambiguated ID Type / Status
Subject 2016 Austrian Grand Prix E1033351 entity
Predicate driverInvolvedInNotableIncident P18677 FINISHED
Object Lewis Hamilton 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: Lewis Hamilton | Statement: [2016 Austrian Grand Prix, driverInvolvedInNotableIncident, Lewis Hamilton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: driverInvolvedInNotableIncident
Context triple: [2016 Austrian Grand Prix, driverInvolvedInNotableIncident, Lewis Hamilton]
  • A. notableArrests
    Indicates that an entity has been arrested in a way considered significant or noteworthy, typically due to the circumstances, impact, or public attention surrounding the arrest.
  • B. notableIncidentType
    Indicates the specific category or kind of significant event or incident associated with an entity.
  • C. involvedInAccident
    Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
  • D. hasNotableIncident chosen
    Indicates that an entity is associated with a significant or noteworthy event, occurrence, or incident.
  • E. notableArrestee
    Indicates that the subject is a person who was arrested in a way considered notable or significant, typically in connection with the object (such as an event, case, or authority).
  • 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_69f7ac23d1388190bdf9628b294943bd completed May 3, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f7ab734d848190a84f9b8c3a952b75 completed May 3, 2026, 8:09 p.m.
Created at: May 3, 2026, 4:06 p.m.