Triple

T21517203
Position Surface form Disambiguated ID Type / Status
Subject Maynas E530875 entity
Predicate hasPart P35 FINISHED
Object Maynas 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: Maynas Province | Statement: [Maynas, hasPart, Maynas Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maynas Province
Context triple: [Maynas, hasPart, Maynas Province]
  • A. Maynas Province chosen
    Maynas Province is an administrative division in Peru’s Loreto Region, encompassing the city of Iquitos and large areas of Amazon rainforest.
  • B. Azua Province
    Azua Province is a region in the Dominican Republic known for its diverse landscapes, including parts of the high-altitude Valle Nuevo National Park.
  • C. Camacho Province
    Camacho Province is an administrative subdivision in western Bolivia known for its location within the high Andean region of the La Paz Department.
  • D. Jauja Province
    Jauja Province is an Andean province in Peru’s Junín Region, known for its highland landscapes, colonial history, and proximity to protected natural areas such as the Nor Yauyos-Cochas Landscape Reserve.
  • E. Atalaya Province
    Atalaya Province is an administrative province located within Peru's Amazonian Ucayali Region, known for its vast rainforest and indigenous communities.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee814278e08190a66d516bed0726b5 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:25 p.m.