Triple

T13514865
Position Surface form Disambiguated ID Type / Status
Subject Vic-sur-Cère E322733 entity
Predicate river P165 FINISHED
Object Cère E348249 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: Cère | Statement: [Vic-sur-Cère, river, Cère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cère
Context triple: [Vic-sur-Cère, river, Cère]
  • A. Cère chosen
    Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
  • B. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • C. Ariège
    Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
  • D. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • E. Vézère River
    The Vézère River is a tributary of the Dordogne in southwestern France, renowned for the prehistoric cave sites and rock shelters that line its valley.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac78104881909ea8d41cfb8d4574 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:44 p.m.