Triple

T5884000
Position Surface form Disambiguated ID Type / Status
Subject Caicó E130815 entity
Predicate locatedIn P40 FINISHED
Object Seridó region E554504 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: Seridó region | Statement: [Caicó, locatedIn, Seridó region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seridó region
Context triple: [Caicó, locatedIn, Seridó region]
  • A. Seridó Oriental chosen
    Seridó Oriental is a microregion in the state of Rio Grande do Norte, Brazil, known for its semi-arid landscape and cultural traditions linked to the Seridó hinterland.
  • B. Brazilian semi-arid region
    The Brazilian semi-arid region is a vast, predominantly dry area in northeastern Brazil characterized by low and irregular rainfall, caatinga vegetation, and frequent droughts.
  • C. Brazilian Midwest
    The Brazilian Midwest is a vast inland region of Brazil known for its agricultural production, the Pantanal wetlands, and major cities such as Cuiabá, Goiânia, and Brasília.
  • D. 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.
  • E. Zona da Mata
    Zona da Mata is a humid, forested coastal region in the Brazilian state of Pernambuco, historically known for its sugarcane plantations and Atlantic Forest remnants.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03675747c81908936405c27c2719b completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff29200819080c7d9269ad80c53 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:57 p.m.