Triple

T4261617
Position Surface form Disambiguated ID Type / Status
Subject Council of Clermont E96116 entity
Predicate tookPlaceIn P40 FINISHED
Object Clermont-Ferrand 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 | Statement: [Council of Clermont, tookPlaceIn, Clermont-Ferrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clermont-Ferrand
Context triple: [Council of Clermont, tookPlaceIn, Clermont-Ferrand]
  • 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. Rodez
    Rodez is a historic cathedral city in southern France that serves as the capital of the Aveyron department in the Occitanie region.
  • C. Saint-Étienne
    Saint-Étienne is an industrial city in central France known for its historic manufacturing heritage, football culture, and role as one of the host cities for major international sporting events.
  • D. Aix-les-Bains
    Aix-les-Bains is a French spa and resort town in the Savoie department, renowned for its thermal baths and lakeside setting on the edge of the Alps.
  • E. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f82b2688190bf4c581e13a9c4b9 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf88d99da08190996996079b947498 completed March 22, 2026, 6:14 a.m.
Created at: March 12, 2026, 11:06 p.m.