Triple

T16388272
Position Surface form Disambiguated ID Type / Status
Subject Armagnac region E397980 entity
Predicate notableTown P14082 FINISHED
Object Vic-Fezensac E1054189 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: Vic-Fezensac | Statement: [Armagnac region, notableTown, Vic-Fezensac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vic-Fezensac
Context triple: [Armagnac region, notableTown, Vic-Fezensac]
  • A. Vic-Fezensac chosen
    Vic-Fezensac is a small commune in southwestern France known for its bullfighting arena and lively summer festivals, including Latin music and salsa events.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • D. Veigy-Foncenex
    Veigy-Foncenex is a commune in the Haute-Savoie department of southeastern France, located near the Swiss border close to Geneva.
  • E. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263f18988190800b921381d60c1b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356ed47c819085aaf101459dd55c completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.