Triple

T560863
Position Surface form Disambiguated ID Type / Status
Subject Emberá E13446 entity
Predicate region P40 FINISHED
Object Darién Province E70885 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: Darién Province | Statement: [Emberá, region, Darién Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darién Province
Context triple: [Emberá, region, Darién Province]
  • A. Darién Province chosen
    Darién Province is a sparsely populated, biodiverse region in eastern Panama known for its dense rainforests, indigenous communities, and the Darién Gap that interrupts the Pan-American Highway.
  • B. Bolívar Province
    Bolívar Province is an inland administrative region in central Ecuador, known for its Andean highland landscapes and agricultural economy.
  • C. Veraguas Province
    Veraguas Province is a region in western Panama known for its mix of Pacific and Caribbean coastlines, mountainous interior, and the provincial capital Santiago de Veraguas.
  • D. Panamá Province
    Panamá Province is a central administrative region of Panama that includes the nation’s capital, Panama City, and serves as the country’s main political and economic hub.
  • E. Pastaza Province
    Pastaza Province is a large, sparsely populated region in eastern Ecuador within the Amazon rainforest, known for its rich biodiversity and significant Indigenous communities, including the Shuar.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e2795c8190903240e79964156d completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc7dea048190a5a1472825f6d747 completed March 2, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:32 p.m.