Triple

T19566848
Position Surface form Disambiguated ID Type / Status
Subject Mato Grosso E489604 entity
Predicate contains P35 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: [Mato Grosso, contains, Pantanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantanal
Context triple: [Mato Grosso, contains, 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. Brazil Basin
    The Brazil Basin is a deep oceanic basin in the western South Atlantic characterized by extensive abyssal plains and significant deep-water circulation.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f784ff88190a515c78429de3caf completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.