Triple

T16179202
Position Surface form Disambiguated ID Type / Status
Subject MG Cars E392642 entity
Predicate motorsportInvolvement P8241 FINISHED
Object sports car racing 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: sports car racing | Statement: [MG Cars, motorsportInvolvement, sports car racing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: motorsportInvolvement
Context triple: [MG Cars, motorsportInvolvement, sports car racing]
  • A. hasMotorsportInvolvement chosen
    Indicates that an entity is involved in motorsport, such as through participation, organization, sponsorship, or other direct association with motor racing activities.
  • B. motorsportRole
    Indicates the specific function or position an entity holds within the context of motorsport activities or events.
  • C. motorsportPurpose
    Indicates that something exists or is used specifically for the purpose of participating in or supporting motorsport activities or events.
  • D. motorsportReturnFor
    Indicates a relationship where something is received, gained, or obtained as a result of participation in or association with a motorsport activity or event.
  • E. motorsportHomologationRole
    Indicates the specific role or function an entity has within the homologation (official approval and certification) process in motorsport.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69e219d642708190ba31a90dce76a210 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.