Triple

T8749009
Position Surface form Disambiguated ID Type / Status
Subject Catholic and Royal Army E207906 entity
Predicate activeIn P1560 FINISHED
Object Vendée E138958 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: Vendée | Statement: [Catholic and Royal Army, activeIn, Vendée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vendée
Context triple: [Catholic and Royal Army, activeIn, 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. 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.
  • D. Albret
    Albret is a historic region in southwestern France that was once a powerful feudal lordship and later an important small principality tied to the French and Navarrese crowns.
  • E. Dombes
    Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da4214881908b6917f847c43cb5 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4313630881909b946cb8a2bdf793 completed April 3, 2026, 4:33 a.m.
Created at: March 30, 2026, 6:39 p.m.