Triple

T10769095
Position Surface form Disambiguated ID Type / Status
Subject Province of Lleida E254027 entity
Predicate containsRegion P285 FINISHED
Object Noguera E614162 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: Noguera | Statement: [Province of Lleida, containsRegion, Noguera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noguera
Context triple: [Province of Lleida, containsRegion, Noguera]
  • A. Noguera chosen
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • B. Jorquera River
    The Jorquera River is an Andean watercourse in northern Chile that serves as one of the principal headwater tributaries of the Copiapó River.
  • C. Ocaña
    Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
  • D. Ocaña
    Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
  • E. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • 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_69de236d0a78819090774656b7b492e5 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.