Triple

T13314182
Position Surface form Disambiguated ID Type / Status
Subject Ponent region E317147 entity
Predicate contains P35 FINISHED
Object Pla d’Urgell E614163 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: Pla d’Urgell | Statement: [Ponent region, contains, Pla d’Urgell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pla d’Urgell
Context triple: [Ponent region, contains, Pla d’Urgell]
  • A. Pla d'Urgell chosen
    Pla d'Urgell is a comarca (county) in the inland plains of Catalonia, Spain, known for its irrigated agriculture and small rural towns.
  • B. Quart de Poblet
    Quart de Poblet is a municipality in the province of Valencia, Spain, known for its proximity to the city of Valencia and its role within the metropolitan area.
  • C. Sant Sadurní d’Anoia
    Sant Sadurní d’Anoia is a Catalan town renowned as the main center of cava (sparkling wine) production in Spain.
  • D. Alt Urgell
    Alt Urgell is a mountainous comarca in the Catalan Pyrenees known for its natural landscapes, rural villages, and the town of La Seu d'Urgell.
  • E. Sant Celoni
    Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
  • 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_69d806b40ab4819094adf6c374f4811a 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_69f78acfd0e88190954533a7f282d83a completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:29 p.m.