Triple

T13151441
Position Surface form Disambiguated ID Type / Status
Subject Crax fasciolata E312474 entity
Predicate range P4679 FINISHED
Object Pantanal E12476 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: Pantanal | Statement: [Crax fasciolata, range, Pantanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantanal
Context triple: [Crax fasciolata, range, 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. 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.
  • C. Misiones rainforest
    The Misiones rainforest is a subtropical forest in northeastern Argentina renowned for its rich biodiversity, red-soil landscapes, and iconic Iguazú Falls.
  • D. 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.
  • E. Gran Chaco
    The Gran Chaco is a vast, sparsely populated lowland plain in central South America, known for its hot, semi-arid climate and dry forests spanning parts of Argentina, Paraguay, Bolivia, and Brazil.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaeca00c8190aa5645d1084c7d60 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.