Triple

T21263213
Position Surface form Disambiguated ID Type / Status
Subject Sèvre Niortaise E524056 entity
Predicate flowsThrough P225 FINISHED
Object Vendée 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: Vendée | Statement: [Sèvre Niortaise, flowsThrough, Vendée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vendée
Context triple: [Sèvre Niortaise, flowsThrough, Vendée]
  • A. Vendée chosen
    Vendée is a department in western France known for its Atlantic coastline, rural landscapes, and historical role in the counter-revolutionary uprisings during the French Revolution.
  • B. Montaigu-Vendée
    Montaigu-Vendée is a commune in western France formed by the merger of several towns, known for its historical heritage and location in the Vendée department of the Pays de la Loire region.
  • C. Vendéans
    The Vendéans were royalist Catholic insurgents from the Vendée region of western France who rose up against the French Revolutionary government during the War in the Vendée.
  • D. Vendée coast
    The Vendée coast is a popular stretch of France’s Atlantic shoreline known for its long sandy beaches, mild climate, and seaside resorts.
  • E. Saintonge
    Saintonge is a historic coastal region in western France, centered around the town of Saintes and known for its Romanesque heritage and early production of cognac.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e9b2788190b834ba38367fb6c7 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.