Triple

T20016093
Position Surface form Disambiguated ID Type / Status
Subject Belo Monte Dam E494721 entity
Predicate designedBy P184 FINISHED
Object Eletrobras NE NERFINISHED

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: Eletrobras | Statement: [Belo Monte Dam, designedBy, Eletrobras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eletrobras
Context triple: [Belo Monte Dam, designedBy, Eletrobras]
  • A. Eletrobras chosen
    Eletrobras is Brazil’s largest electric utility company, primarily state-controlled and a major player in power generation and transmission across the country.
  • B. Eletrosul
    Eletrosul is a Brazilian state-owned electric power company focused on generation and transmission in the southern region of Brazil.
  • C. CPFL Energia
    CPFL Energia is a major Brazilian electric utility company engaged in the generation, distribution, and commercialization of electricity across multiple regions of Brazil.
  • D. Santo Antônio Energia
    Santo Antônio Energia is a Brazilian energy company responsible for operating and managing the Santo Antônio hydroelectric power plant on the Madeira River.
  • E. Furnas Centrais Elétricas
    Furnas Centrais Elétricas is a major Brazilian state-controlled electric utility company focused on the generation and transmission of hydroelectric power.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.