Triple

T13314580
Position Surface form Disambiguated ID Type / Status
Subject Ponent E317156 entity
Predicate contains P35 FINISHED
Object Segrià E317936 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: Segrià | Statement: [Ponent, contains, Segrià]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segrià
Context triple: [Ponent, contains, Segrià]
  • A. Badia del Vallès
    Badia del Vallès is a small, densely populated municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its largely residential character and proximity to Barcelona.
  • B. Segrià comarca chosen
    Segrià comarca is an administrative and geographical county in western Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscape and role as a regional hub.
  • C. Baix Empordà
    Baix Empordà is a coastal comarca in northeastern Catalonia, Spain, known for its medieval villages, beaches, and coves along the Costa Brava.
  • D. Parets del Vallès
    Parets del Vallès is a municipality in the province of Barcelona, Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • E. Conca de Barberà
    Conca de Barberà is a comarca (county) in Catalonia, Spain, known for its medieval heritage, wine production, and the presence of the UNESCO-listed Poblet Monastery.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f8a86481909ea2942c63037b77 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f74612bab88190bf1a895b87be12c1 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:29 p.m.