Triple

T18882269
Position Surface form Disambiguated ID Type / Status
Subject Festival Cinéma d’Alès – Itinérances E461859 entity
Predicate locatedIn P40 FINISHED
Object Alès 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: Alès | Statement: [Festival Cinéma d’Alès – Itinérances, locatedIn, Alès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alès
Context triple: [Festival Cinéma d’Alès – Itinérances, locatedIn, Alès]
  • A. Alès chosen
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Abriès
    Abriès is a small alpine commune in southeastern France, known for its scenic location in the Queyras valley near the Italian border and its outdoor mountain activities.
  • C. Vidourle
    Vidourle is a river in southern France that flows through the Gard department before emptying into the Mediterranean Sea.
  • D. Reyssouze
    Reyssouze is a river in eastern France that flows through the Ain department and the town of Bourg-en-Bresse.
  • E. Beaujeu
    Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d3286081908c1ae2cb413b49aa completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.