Triple

T6850871
Position Surface form Disambiguated ID Type / Status
Subject Porsche Carrera Cup Australia E158010 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: [Porsche Carrera Cup Australia, tyreSupplier, Michelin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelin
Context triple: [Porsche Carrera Cup Australia, 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84c45708190918adfc028252400 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7427825d881909f151ca2ce3bd546 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:20 p.m.