Triple

T20016121
Position Surface form Disambiguated ID Type / Status
Subject Belo Monte Dam E494721 entity
Predicate namedAfter P63 FINISHED
Object Belo Monte locality on the Xingu River — 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 locality on the Xingu River | Statement: [Belo Monte Dam, namedAfter, Belo Monte locality on the Xingu River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belo Monte locality on the Xingu River
Context triple: [Belo Monte Dam, namedAfter, Belo Monte locality on the Xingu River]
  • 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. Xingó Dam
    Xingó Dam is a large hydroelectric dam complex in northeastern Brazil that generates power and helps regulate the flow of the São Francisco River.
  • D. Miritituba river terminals
    The Miritituba river terminals are a major logistics hub in Pará, Brazil, where agricultural commodities—especially soy and corn—are transferred from trucks to barges for transport along the Tapajós and Amazon river systems.
  • E. Madeira River energy complex
    The Madeira River energy complex is a large hydroelectric development in Brazil that encompasses multiple dams and related infrastructure to harness the energy potential of the Madeira River.
  • 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 locality on the Xingu River
Target entity description: Belo Monte locality on the Xingu River is a riverside settlement in Pará, Brazil, historically known for its position along the Xingu and as the namesake of the massive Belo Monte hydroelectric dam.
  • 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. Xingó Dam
    Xingó Dam is a large hydroelectric dam complex in northeastern Brazil that generates power and helps regulate the flow of the São Francisco River.
  • D. Miritituba river terminals
    The Miritituba river terminals are a major logistics hub in Pará, Brazil, where agricultural commodities—especially soy and corn—are transferred from trucks to barges for transport along the Tapajós and Amazon river systems.
  • E. Madeira River energy complex
    The Madeira River energy complex is a large hydroelectric development in Brazil that encompasses multiple dams and related infrastructure to harness the energy potential of the Madeira River.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623cb8188190b95913ffed895930 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.