Triple

T18123171
Position Surface form Disambiguated ID Type / Status
Subject Muséum des Volcans E433794 entity
Predicate operatedBy P86 FINISHED
Object City of Aurillac NE NERFINISHED

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: City of Aurillac | Statement: [Muséum des Volcans, operatedBy, City of Aurillac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Aurillac
Context triple: [Muséum des Volcans, operatedBy, City of Aurillac]
  • A. Aurillac chosen
    Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
  • B. Yssingeaux
    Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • C. Cauterets
    Cauterets is a spa and ski resort town in the French Pyrenees known for its thermal baths, mountain scenery, and access to popular hiking areas.
  • D. City of Vienne
    The City of Vienne is a historic commune in southeastern France, renowned for its rich Roman heritage and well-preserved ancient monuments.
  • E. Anduze
    Anduze is a historic town in southern France, known as a gateway to the Cévennes region and for its traditional pottery and scenic setting along the Gardon River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddebeae88190ae50e9a258b34dbe completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.