Triple

T1990144
Position Surface form Disambiguated ID Type / Status
Subject Pays de la Loire E43232 entity
Predicate containsDepartment P1467 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: [Pays de la Loire, containsDepartment, Vendée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vendée
Context triple: [Pays de la Loire, containsDepartment, 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. 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.
  • C. Ver-sur-Mer
    Ver-sur-Mer is a coastal village in Normandy, France, known for its location on Gold Beach, one of the key Allied landing sectors during the D-Day invasion of World War II.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8434cec819087842e2c9537df9e completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0336177c8190bb9d3d921fff13e8 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.