Triple

T12721561
Position Surface form Disambiguated ID Type / Status
Subject Aste-Béon E303997 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Béarnais E876861 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: Béarnais | Statement: [Aste-Béon, hasLocalLanguage, Béarnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béarnais
Context triple: [Aste-Béon, hasLocalLanguage, Béarnais]
  • A. Béarn chosen
    Béarn is a historic province in southwestern France, nestled in the Pyrenees and known for its distinct cultural identity, Occitan-influenced language, and rich medieval heritage.
  • B. Saint-Gironnais
    Saint-Gironnais refers to the inhabitants or natives of the town of Saint-Girons in southwestern France.
  • C. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • D. Gascogne
    Gascogne is a historic cultural region in southwestern France known for its Gascon language, rich rural traditions, and distinctive cuisine including Armagnac and foie gras.
  • E. Béarn AOC
    Béarn AOC is a French wine appellation in southwestern France known for producing red, white, and rosé wines, often from Tannat and local grape varieties, in the foothills of the Pyrenees.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af49d2c4819097168712af7d4c15 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:24 p.m.