Triple

T10769100
Position Surface form Disambiguated ID Type / Status
Subject Province of Lleida E254027 entity
Predicate containsRegion P285 FINISHED
Object Solsonès E616316 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: Solsonès | Statement: [Province of Lleida, containsRegion, Solsonès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solsonès
Context triple: [Province of Lleida, containsRegion, Solsonès]
  • A. Solsonès chosen
    Solsonès is a rural comarca in central Catalonia, Spain, known for its mountainous landscapes, Romanesque heritage, and the historic town of Solsona.
  • B. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • C. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • D. 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.
  • E. Arenys de Munt
    Arenys de Munt is a municipality in the Maresme comarca of Catalonia, Spain, known for its Mediterranean setting and involvement in early Catalan independence referendums.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7322f9968819098b0ad54b913bfe4 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e343ffc428819085599f251b7553e5 completed April 18, 2026, 8:42 a.m.
Created at: April 8, 2026, 9:16 p.m.