Triple

T19799233
Position Surface form Disambiguated ID Type / Status
Subject Le Boulou E475625 entity
Predicate locatedIn P40 FINISHED
Object Vallespir 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: Vallespir | Statement: [Le Boulou, locatedIn, Vallespir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallespir
Context triple: [Le Boulou, 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. Vallès region
    The Vallès region is a historical and geographical area in Catalonia, Spain, traditionally divided into the comarques of Vallès Occidental and Vallès Oriental, known for its industrial towns and proximity to Barcelona.
  • E. Lleida Pirineus
    Lleida Pirineus is a major railway station in Lleida, Catalonia, serving as a key hub for high-speed and regional train services in northeastern Spain.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c930a08190a2263db7170edd71 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.