Triple

T17495587
Position Surface form Disambiguated ID Type / Status
Subject Pays d’Olmes E426048 entity
Predicate administrativeCenter P1474 FINISHED
Object Lavelanet 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: Lavelanet | Statement: [Pays d’Olmes, administrativeCenter, Lavelanet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lavelanet
Context triple: [Pays d’Olmes, administrativeCenter, Lavelanet]
  • A. Lavelanet chosen
    Lavelanet is a small town in southwestern France known for its textile industry heritage and location in the foothills of the Pyrenees.
  • B. Vallon
    Vallon is the surname of Priest Vallon, a fictional Irish-American gang leader and father of Amsterdam Vallon in the film "Gangs of New York."
  • C. Vallon
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • D. Bannalec
    Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
  • E. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520dd9508190872a71d3722228e2 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.