Triple

T17623143
Position Surface form Disambiguated ID Type / Status
Subject Paraná River hydroelectric system E429760 entity
Predicate hasPart P35 FINISHED
Object Rosana Dam — 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: Rosana Dam | Statement: [Paraná River hydroelectric system, hasPart, Rosana Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosana Dam
Context triple: [Paraná River hydroelectric system, hasPart, Rosana Dam]
  • A. Jupiá Dam
    Jupiá Dam is a major hydroelectric dam on the Paraná River in Brazil, contributing significantly to the region’s power generation within the broader Paraná River hydroelectric complex.
  • B. Don Pedro Dam
    Don Pedro Dam is a major embankment dam on the Tuolumne River in California, forming Don Pedro Reservoir and serving as a key source of water storage, hydroelectric power, and recreation in the region.
  • C. Barra Bonita Dam
    Barra Bonita Dam is a hydroelectric and navigation dam complex in the state of São Paulo, Brazil, known for regulating the Tietê River and forming the Barra Bonita Reservoir.
  • D. Arroyito Dam
    Arroyito Dam is a hydroelectric and flood-control dam located on Argentina’s Limay River in the Patagonia region.
  • E. Anzalduas Dam
    Anzalduas Dam is a diversion dam on the Rio Grande near the U.S.–Mexico border that helps control river flow and supports irrigation and flood management in the surrounding region.
  • 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: Rosana Dam
Target entity description: Rosana Dam is a hydroelectric dam on the Paranapanema River in Brazil, used for generating electricity as part of the broader Paraná River basin power system.
  • A. Jupiá Dam
    Jupiá Dam is a major hydroelectric dam on the Paraná River in Brazil, contributing significantly to the region’s power generation within the broader Paraná River hydroelectric complex.
  • B. Don Pedro Dam
    Don Pedro Dam is a major embankment dam on the Tuolumne River in California, forming Don Pedro Reservoir and serving as a key source of water storage, hydroelectric power, and recreation in the region.
  • C. Barra Bonita Dam
    Barra Bonita Dam is a hydroelectric and navigation dam complex in the state of São Paulo, Brazil, known for regulating the Tietê River and forming the Barra Bonita Reservoir.
  • D. Arroyito Dam
    Arroyito Dam is a hydroelectric and flood-control dam located on Argentina’s Limay River in the Patagonia region.
  • E. Anzalduas Dam
    Anzalduas Dam is a diversion dam on the Rio Grande near the U.S.–Mexico border that helps control river flow and supports irrigation and flood management in the surrounding region.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dba664c81909dcaf44779db5565 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.