Triple

T21532987
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Midwest E531280 entity
Predicate containsEcoregion P9298 FINISHED
Object Pantanal 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: Pantanal | Statement: [Brazilian Midwest, containsEcoregion, Pantanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantanal
Context triple: [Brazilian Midwest, containsEcoregion, Pantanal]
  • A. Pantanal chosen
    The Pantanal is one of the world’s largest tropical wetlands, renowned for its extraordinary biodiversity and vast seasonally flooded plains in central South America.
  • B. Araguaia wetlands
    The Araguaia wetlands are an extensive floodplain ecosystem in central Brazil, known for their rich biodiversity and seasonal inundation along the Araguaia River.
  • C. Cerrado
    The Cerrado is a vast tropical savanna ecoregion in central Brazil, renowned for its rich biodiversity, unique mix of grasslands and woodlands, and critical role in South American water and climate systems.
  • D. Misiones rainforest
    The Misiones rainforest is a subtropical forest in northeastern Argentina renowned for its rich biodiversity, red-soil landscapes, and iconic Iguazú Falls.
  • E. Alta Floresta
    Alta Floresta is a municipality in northern Mato Grosso, Brazil, known as a gateway to the Amazon rainforest and a center for ecotourism and environmental research.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ae0e88190a6042effd93cd455 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.