Triple

T16768237
Position Surface form Disambiguated ID Type / Status
Subject Rio São Francisco E407523 entity
Predicate hasHydroelectricPlant P15311 FINISHED
Object Sobradinho Dam E840359 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: Sobradinho Dam | Statement: [Rio São Francisco, hasHydroelectricPlant, Sobradinho Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sobradinho Dam
Context triple: [Rio São Francisco, hasHydroelectricPlant, Sobradinho Dam]
  • A. Sobradinho Dam chosen
    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.
  • B. Itaparica Dam
    Itaparica Dam is a large hydroelectric dam and reservoir complex on Brazil’s São Francisco River, primarily used for power generation and water regulation.
  • C. 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.
  • D. Três Marias Dam
    Três Marias Dam is a large hydroelectric and flood-control dam in Brazil that forms one of the country’s major reservoirs on the São Francisco River.
  • E. 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.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0349bc88190938750f1e5af192a completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a533e83481909966a7b86c8c8e64 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.