Triple

T5933802
Position Surface form Disambiguated ID Type / Status
Subject Michelin E131996 entity
Predicate foundingLocation P40 FINISHED
Object Clermont-Ferrand, France E25094 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: Clermont-Ferrand, France | Statement: [Michelin, foundingLocation, Clermont-Ferrand, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clermont-Ferrand, France
Context triple: [Michelin, foundingLocation, Clermont-Ferrand, France]
  • A. Clermont-Ferrand chosen
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • B. Montlouis-sur-Loire, France
    Montlouis-sur-Loire is a commune in central France’s Loire Valley, known for its vineyards and historic châteaux along the Loire River.
  • C. Sochaux, France
    Sochaux, France is an industrial town in eastern France best known as the historic home of the Peugeot automobile manufacturing complex.
  • D. Bourges, France
    Bourges, France is a historic city in central France known for its well-preserved medieval architecture and the UNESCO-listed Bourges Cathedral.
  • E. Ribemont, France
    Ribemont, France is a small commune in northern France best known as the birthplace of Enlightenment philosopher and mathematician Marquis de Condorcet.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3affd748190a37e3cc60e58d6a6 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.