Triple

T3535886
Position Surface form Disambiguated ID Type / Status
Subject Mato Grosso E74770 entity
Predicate hasRegion P285 FINISHED
Object Cerrado E100317 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: Cerrado | Statement: [Mato Grosso, hasRegion, Cerrado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerrado
Context triple: [Mato Grosso, hasRegion, Cerrado]
  • A. Pantanal
    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. Mata Atlântica
    Mata Atlântica is Brazil’s Atlantic Forest biome, a highly diverse and endangered tropical rainforest that once stretched along much of the country’s eastern coast.
  • C. Brazilian Highlands chosen
    The Brazilian Highlands are an extensive plateau region covering much of eastern, southern, and central Brazil, known for their diverse landscapes, rich biodiversity, and major role in the country’s climate and river systems.
  • D. Pampas
    The Pampas is a vast fertile lowland plain in South America, primarily in Argentina, known for its grasslands, agriculture, and cattle ranching.
  • E. Meseta Central matorral
    Meseta Central matorral is a semi-arid shrubland ecoregion on Mexico’s central plateau, characterized by drought-adapted vegetation and high biodiversity.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc4c1d081908938efb71938e1a3 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb87c3748190bce62e86fcdfa380 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:20 p.m.