Triple

T21704769
Position Surface form Disambiguated ID Type / Status
Subject Granollers E535744 entity
Predicate locatedIn P40 FINISHED
Object Vallès Oriental 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: Vallès Oriental | Statement: [Granollers, locatedIn, Vallès Oriental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallès Oriental
Context triple: [Granollers, locatedIn, Vallès Oriental]
  • A. Vallès Oriental chosen
    Vallès Oriental is a comarca (county) in Catalonia, Spain, known for its mix of industrial towns and rural landscapes northeast of Barcelona.
  • B. Vallès Occidental
    Vallès Occidental is a comarca (county) in Catalonia, Spain, known for its industrial cities and proximity to Barcelona within the metropolitan area.
  • C. 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.
  • D. Vallespir
    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.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52e4b84819095a24cc9fdca2b8a completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.