Triple

T20029828
Position Surface form Disambiguated ID Type / Status
Subject Collégiale Saint-Michel de Castelnaudary E495090 entity
Predicate region P40 FINISHED
Object Lauragais 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: Lauragais | Statement: [Collégiale Saint-Michel de Castelnaudary, region, Lauragais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauragais
Context triple: [Collégiale Saint-Michel de Castelnaudary, region, Lauragais]
  • A. Lauragais chosen
    Lauragais is a historic rural region in southwestern France known for its rolling agricultural landscapes, traditional villages, and strong Occitan cultural heritage.
  • B. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • C. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Les Neyres
    Les Neyres is a small village in the Swiss canton of Valais that forms part of the municipality of Vionnaz.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662908df081909a6c8ccf0dd90fff completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.