Triple

T21295751
Position Surface form Disambiguated ID Type / Status
Subject Lambayeque Region E524916 entity
Predicate bordersToTheNorth P224 FINISHED
Object Piura 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: Piura Region | Statement: [Lambayeque Region, bordersToTheNorth, Piura Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piura Region
Context triple: [Lambayeque Region, bordersToTheNorth, Piura Region]
  • A. Piura Region chosen
    Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
  • B. 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.
  • C. Moquegua Region
    Moquegua Region is a sparsely populated region in southern Peru known for its volcanic landscapes, including the active Ubinas volcano, as well as its mining activities and agricultural production.
  • D. Ica Region
    The Ica Region is a coastal department in southern Peru known for its desert landscapes, vineyards, and archaeological sites including the Nazca Lines.
  • E. Piura
    Piura is a major city in northwestern Peru known for its colonial architecture, warm climate, and role as a commercial and agricultural hub near the Pacific coast.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385858ec8190bdc9c5cdcb8d4507 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.