Triple

T23107068
Position Surface form Disambiguated ID Type / Status
Subject Vallière E576198 entity
Predicate hasNameInLanguage P15 FINISHED
Object fr:Vallière 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: fr:Vallière | Statement: [Vallière, hasNameInLanguage, fr:Vallière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: fr:Vallière
Context triple: [Vallière, hasNameInLanguage, fr:Vallière]
  • A. Vallière chosen
    Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
  • B. Viaur (French)
    Viaur is a river in southern France, known for flowing through the Massif Central and for the notable railway viaduct that spans its valley.
  • C. de Villars
    de Villars is a French noble family name historically associated with prominent military and aristocratic figures.
  • D. Valaisan French
    Valaisan French is a regional variety of French spoken in the canton of Valais in southwestern Switzerland, characterized by distinctive phonetic and lexical features influenced by local dialects.
  • E. Freneuse
    Freneuse is a commune in northern France that forms part of the greater Rouen metropolitan area in the Normandy region.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0bb27c8190a17942d9b88bb158 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.