Triple

T22853854
Position Surface form Disambiguated ID Type / Status
Subject Pacanga District E566424 entity
Predicate hasRegion P285 FINISHED
Object La Libertad Region NE NERFINISHED

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: La Libertad Region | Statement: [Pacanga District, hasRegion, La Libertad Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Libertad Region
Context triple: [Pacanga District, hasRegion, La Libertad Region]
  • A. La Libertad Region chosen
    La Libertad Region is a coastal region in northwestern Peru known for its rich pre-Columbian archaeological sites, colonial heritage, and agricultural production.
  • B. Lambayeque Region
    Lambayeque Region is a coastal administrative region in northwestern Peru known for its rich Moche and Sicán archaeological heritage and important agricultural production.
  • C. Lima Region
    Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
  • D. Piura Region
    Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
  • E. Madre de Dios Region
    Madre de Dios Region is a sparsely populated, biodiverse region in southeastern Peru known for its Amazon rainforest, protected natural reserves, and ecotourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eba65a881908c484262c3ee5212 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:37 p.m.