Triple

T22775787
Position Surface form Disambiguated ID Type / Status
Subject São Simão Dam E563692 entity
Predicate ownedBy P347 FINISHED
Object Cemig 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: Cemig | Statement: [São Simão Dam, ownedBy, Cemig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cemig
Context triple: [São Simão Dam, ownedBy, Cemig]
  • A. Cemig chosen
    Cemig is a major Brazilian electric utility company that generates, transmits, and distributes electricity, including operating large hydroelectric facilities.
  • 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. Companhia Energética de São Paulo
    Companhia Energética de São Paulo is a Brazilian electric power company that operates hydroelectric facilities and related energy infrastructure in the state of São Paulo.
  • E. 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.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b61acf881909d9f54e0966ee3cc completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.