Triple

T22265111
Position Surface form Disambiguated ID Type / Status
Subject canton of Vaison-la-Romaine E550330 entity
Predicate contains P35 FINISHED
Object Villedieu 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: Villedieu | Statement: [canton of Vaison-la-Romaine, contains, Villedieu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villedieu
Context triple: [canton of Vaison-la-Romaine, contains, Villedieu]
  • A. Villedieu chosen
    Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
  • B. Doumergue
    Doumergue is the surname of Gaston Doumergue, a French statesman who served as President of France in the early 20th century.
  • C. Cusset
    Cusset is a residential and commercial district in the eastern part of Villeurbanne, near Lyon in eastern France.
  • D. Pierre-Buffière
    Pierre-Buffière is a small commune in west-central France, located in the Haute-Vienne department within the Nouvelle-Aquitaine region.
  • E. Vallangoujard
    Vallangoujard is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bb850881908f5e9c37afb52ca8 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.