Triple

T3843371
Position Surface form Disambiguated ID Type / Status
Subject Aguarico River E93506 entity
Predicate flowsThrough P225 FINISHED
Object Loreto Region E50268 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: Loreto Region | Statement: [Aguarico River, flowsThrough, Loreto Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loreto Region
Context triple: [Aguarico River, flowsThrough, Loreto Region]
  • A. La Libertad Region
    La Libertad Region is a coastal region in northwestern Peru known for its rich pre-Columbian archaeological sites, colonial heritage, and agricultural production.
  • B. Loreto Region of Peru chosen
    The Loreto Region of Peru is a vast, sparsely populated area in the northern Amazon rainforest known for its rich indigenous cultures, extensive river systems, and biodiverse jungle environment.
  • C. Melgar Province
    Melgar Province is an administrative division in southeastern Peru known for its high Andean landscapes and location within the Puno Region.
  • D. Cordillera Province
    Cordillera Province is an administrative division in central Chile located in the Andean foothills east of Santiago, known for its mountainous terrain and natural landscapes.
  • E. Piura Region
    Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4ca9164819088b261d148e0d379 completed March 14, 2026, 10:44 p.m.
Created at: March 9, 2026, 3:18 p.m.