Triple

T23537022
Position Surface form Disambiguated ID Type / Status
Subject microregion of Palmeira dos Índios E577625 entity
Predicate containsMunicipality P852 FINISHED
Object Belo Monte NE NERFINISHED

How this triple was built (3 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: Belo Monte | Statement: [microregion of Palmeira dos Índios, containsMunicipality, Belo Monte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belo Monte
Context triple: [microregion of Palmeira dos Índios, containsMunicipality, Belo Monte]
  • A. Belo Monte Dam
    The Belo Monte Dam is a massive hydroelectric complex in Brazil’s Amazon region, known for its high power capacity and significant environmental and social controversy.
  • B. Paulo Afonso Hydroelectric Complex
    The Paulo Afonso Hydroelectric Complex is a major Brazilian hydroelectric power facility on the São Francisco River, known for its large cascade of dams and significant contribution to the country’s electricity supply.
  • C. Sobradinho Dam
    Sobradinho Dam is a large hydroelectric and flood-control dam on Brazil’s São Francisco River, notable for creating one of the world’s largest artificial reservoirs.
  • D. São Simão Hydroelectric Power Plant
    The São Simão Hydroelectric Power Plant is a large Brazilian hydroelectric facility on the Paranaíba River, known for its significant electricity generation capacity and role in the national power grid.
  • E. Santo Antônio Dam
    Santo Antônio Dam is a large hydroelectric power plant in Brazil, built on the Madeira River near Porto Velho to generate electricity as part of the Madeira River energy complex.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belo Monte
Target entity description: Belo Monte is a small municipality in the state of Alagoas, Brazil, known for its rural character and location within the Northeast region of the country.
  • A. Belo Monte Dam
    The Belo Monte Dam is a massive hydroelectric complex in Brazil’s Amazon region, known for its high power capacity and significant environmental and social controversy.
  • B. Paulo Afonso Hydroelectric Complex
    The Paulo Afonso Hydroelectric Complex is a major Brazilian hydroelectric power facility on the São Francisco River, known for its large cascade of dams and significant contribution to the country’s electricity supply.
  • C. Sobradinho Dam
    Sobradinho Dam is a large hydroelectric and flood-control dam on Brazil’s São Francisco River, notable for creating one of the world’s largest artificial reservoirs.
  • D. São Simão Hydroelectric Power Plant
    The São Simão Hydroelectric Power Plant is a large Brazilian hydroelectric facility on the Paranaíba River, known for its significant electricity generation capacity and role in the national power grid.
  • E. Santo Antônio Dam
    Santo Antônio Dam is a large hydroelectric power plant in Brazil, built on the Madeira River near Porto Velho to generate electricity as part of the Madeira River energy complex.
  • F. None of above. chosen

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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1831688190ac06b84729bce160 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.