Triple

T4184399
Position Surface form Disambiguated ID Type / Status
Subject Céret E88275 entity
Predicate locatedIn P40 FINISHED
Object Vallespir E104714 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: Vallespir | Statement: [Céret, locatedIn, Vallespir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallespir
Context triple: [Céret, locatedIn, Vallespir]
  • A. Vallespir chosen
    Vallespir is a historic Catalan-influenced valley region in the eastern Pyrenees of southern France, known for its spa towns, traditional festivals, and scenic landscapes along the Tech River.
  • B. Vallès Oriental
    Vallès Oriental is a comarca (county) in Catalonia, Spain, known for its mix of industrial towns and rural landscapes northeast of Barcelona.
  • C. Vallès Occidental
    Vallès Occidental is a comarca (county) in Catalonia, Spain, known for its industrial cities and proximity to Barcelona within the metropolitan area.
  • D. Terres de l’Ebre
    Terres de l’Ebre is a southern Catalan region in Spain known for the Ebro River delta, rich wetlands, and distinctive agricultural and natural landscapes.
  • E. Noguera Ribagorçana
    Noguera Ribagorçana is a river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0321eee88190871c1d4bf44a5007 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5961845488190827b03e161f1235e completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:45 p.m.