Triple

T7437758
Position Surface form Disambiguated ID Type / Status
Subject Amapá E171661 entity
Predicate hasMunicipality P847 FINISHED
Object Laranjal do Jari E664484 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: Laranjal do Jari | Statement: [Amapá, hasMunicipality, Laranjal do Jari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laranjal do Jari
Context triple: [Amapá, hasMunicipality, Laranjal do Jari]
  • A. Laranjal do Jari chosen
    Laranjal do Jari is a municipality in the southern part of the Brazilian state of Amapá, known for its location along the Jari River and its origins tied to large-scale forestry and industrial projects in the Amazon region.
  • B. Igarassu
    Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
  • C. Marabá
    Marabá is a major industrial and commercial city in southeastern Pará, Brazil, known for its role in mining, steel production, and as a regional transportation hub.
  • D. Arapiraca
    Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
  • E. Quixeramobim
    Quixeramobim is a municipality in northeastern Brazil known for its semi-arid landscape and agricultural activities within the state of Ceará.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34aa3388190ac300cf934042d78 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83449b84c81909167f29e901c0881 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:13 p.m.