Triple

T4125455
Position Surface form Disambiguated ID Type / Status
Subject SAIC Volkswagen E92712 entity
Predicate hasSupplierRelationshipWith P17063 FINISHED
Object Continental AG E95172 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: Continental AG | Statement: [SAIC Volkswagen, hasSupplierRelationshipWith, Continental AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Continental AG
Context triple: [SAIC Volkswagen, hasSupplierRelationshipWith, Continental AG]
  • A. Continental chosen
    Continental is a major German automotive manufacturing company best known for producing tires, braking systems, and other vehicle components.
  • B. Nokian Tyres
    Nokian Tyres is a Finnish tire manufacturer best known for its high-quality winter and all-weather tires designed for challenging Nordic conditions.
  • C. Bridgestone
    Bridgestone is a global tire and rubber company headquartered in Japan, known for its extensive involvement in motorsports and major sports sponsorships.
  • D. Michelin
    Michelin is a major French multinational tire manufacturer renowned for its tires, travel guides, and the Michelin star restaurant rating system.
  • E. 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.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0b2c76fc8190b3cd9facfcd6e427 completed March 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b67fc881909d12481e61a07bf5 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.