Triple

T35752386
Position Surface form Disambiguated ID Type / Status
Subject 2016 Spanish Grand Prix E1033350 entity
Predicate reasonForSafetyCar P55607 FINISHED
Object collision between Lewis Hamilton and Nico Rosberg on lap 1 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: collision between Lewis Hamilton and Nico Rosberg on lap 1 | Statement: [2016 Spanish Grand Prix, reasonForSafetyCar, collision between Lewis Hamilton and Nico Rosberg on lap 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForSafetyCar
Context triple: [2016 Spanish Grand Prix, reasonForSafetyCar, collision between Lewis Hamilton and Nico Rosberg on lap 1]
  • A. safetyRationale
    Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
  • B. reasonForSpecialMeasures chosen
    Indicates that one entity specifies the justification or cause for which special measures or exceptional actions are taken regarding another entity.
  • C. safetyResponse
    Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
  • D. protectionReason
    Indicates the justification or cause for which protection is provided or required in the relationship between entities.
  • E. safetyProfile
    Indicates the overall level and characteristics of risk or harm associated with something, typically summarizing how safe it is under specified conditions.
  • 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_69fde49a084081909d99b1e0258169d5 completed May 8, 2026, 1:26 p.m.
PD Predicate disambiguation batch_69fde1d04bd881909a46ecbbf18dfe59 completed May 8, 2026, 1:14 p.m.
Created at: May 3, 2026, 4:06 p.m.