Triple

T10769097
Position Surface form Disambiguated ID Type / Status
Subject Province of Lleida E254027 entity
Predicate containsRegion P285 FINISHED
Object Pallars Jussà E616315 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: Pallars Jussà | Statement: [Province of Lleida, containsRegion, Pallars Jussà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pallars Jussà
Context triple: [Province of Lleida, containsRegion, Pallars Jussà]
  • A. Pallars Jussà chosen
    Pallars Jussà is a mountainous comarca in the Catalan Pyrenees known for its rugged landscapes, reservoirs, and Romanesque heritage.
  • B. Pallars Sobirà
    Pallars Sobirà is a mountainous comarca in the Catalan Pyrenees known for its sparse population, natural parks, and outdoor activities such as hiking and skiing.
  • C. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • D. Benicarló
    Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
  • 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_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_69e5099f57ac81909e7734b83ad96a40 completed April 19, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:16 p.m.