Triple

T8630616
Position Surface form Disambiguated ID Type / Status
Subject FIA World Endurance Championship E204389 entity
Predicate tyreSupplier P30565 FINISHED
Object Michelin E131996 NE 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: Michelin | Statement: [FIA World Endurance Championship, tyreSupplier, Michelin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelin
Context triple: [FIA World Endurance Championship, tyreSupplier, Michelin]
  • A. Michelin chosen
    Michelin is a major French multinational tire manufacturer renowned for its tires, travel guides, and the Michelin star restaurant rating system.
  • B. Pirelli
    Pirelli is an Italian multinational company best known as one of the world’s leading manufacturers of high-performance tyres, particularly in motorsport and premium road vehicles.
  • C. Goodyear
    Goodyear is a rapidly growing suburban city in the Phoenix metropolitan area of Arizona, known for its master-planned communities, spring training baseball facilities, and proximity to desert recreation.
  • D. Bridgestone
    Bridgestone is a global tire and rubber company headquartered in Japan, known for its extensive involvement in motorsports and major sports sponsorships.
  • E. Dunlop
    Dunlop is a well-known tire manufacturer that produces high-performance motorcycle and automotive tires used in both professional racing and everyday driving.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47406efc8190b559c68764b7455d completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc0acf508190a090fb1edf9420d2 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.