Triple

T17254844
Position Surface form Disambiguated ID Type / Status
Subject Loin de l’Oeil E418853 entity
Predicate associatedWithRegion P285 FINISHED
Object Gaillac 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: Gaillac | Statement: [Loin de l’Oeil, associatedWithRegion, Gaillac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaillac
Context triple: [Loin de l’Oeil, associatedWithRegion, Gaillac]
  • A. Gaillac chosen
    Gaillac is a historic town in southern France renowned for its long-established wine production and picturesque setting along the Tarn River.
  • B. Blagnac
    Blagnac is a suburban town near Toulouse in southwestern France, best known for hosting the headquarters and main facilities of the aircraft manufacturer Airbus.
  • C. Villefranche-de-Rouergue
    Villefranche-de-Rouergue is a historic bastide town in southern France known for its medieval architecture and picturesque setting on the Aveyron River.
  • D. Villefranche-de-Lauragais
    Villefranche-de-Lauragais is a small commune in the Haute-Garonne department in southwestern France, known for its traditional Lauragais countryside and proximity to the Canal du Midi.
  • E. Ribérac
    Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6c362c819088965c6e05f33faf completed April 19, 2026, 1:22 a.m.
Created at: April 10, 2026, 5:39 a.m.