Triple

T17546481
Position Surface form Disambiguated ID Type / Status
Subject Quijos River E427336 entity
Predicate countrySubdivision P766 FINISHED
Object Napo Province 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: Napo Province | Statement: [Quijos River, countrySubdivision, Napo Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napo Province
Context triple: [Quijos River, countrySubdivision, Napo Province]
  • A. Napo Province chosen
    Napo Province is an inland region of Ecuador in the Amazon rainforest, known for its rich biodiversity, indigenous communities, and ecotourism.
  • B. Apure Province
    Apure Province was a historical administrative region in the Venezuelan Llanos, known for its vast plains and cattle-ranching economy during the colonial and early republican periods.
  • C. Équateur Province
    Équateur Province is a region in the northwestern Democratic Republic of the Congo known for its vast rainforest, river systems, and recurring Ebola virus outbreaks.
  • D. Purús Province
    Purús Province is a remote and sparsely populated administrative division in eastern Peru, located in the Amazon rainforest near the border with Brazil.
  • E. Sucumbíos Province
    Sucumbíos Province is an oil-rich, biodiverse region in northeastern Ecuador, located in the Amazon rainforest along the border with Colombia.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45461643881909b106bafb89253b3 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.