Triple

T7480235
Position Surface form Disambiguated ID Type / Status
Subject Moche River E176735 entity
Predicate flowsThrough P225 FINISHED
Object La Libertad Region E149676 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: La Libertad Region | Statement: [Moche River, flowsThrough, La Libertad Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Libertad Region
Context triple: [Moche River, flowsThrough, 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 (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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f532f4488190b6edaa96099c3b8f completed March 27, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84eed875c81908922057730834a84 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:42 p.m.