Triple

T21546513
Position Surface form Disambiguated ID Type / Status
Subject Comahue hydroelectric complex E531637 entity
Predicate hasPart P35 FINISHED
Object Arroyito Dam 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: Arroyito Dam | Statement: [Comahue hydroelectric complex, hasPart, Arroyito Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arroyito Dam
Context triple: [Comahue hydroelectric complex, hasPart, Arroyito Dam]
  • A. Arroyito Dam chosen
    Arroyito Dam is a hydroelectric and flood-control dam located on Argentina’s Limay River in the Patagonia region.
  • B. Quebrada de Ullum Dam
    Quebrada de Ullum Dam is a hydroelectric and irrigation dam on the San Juan River in Argentina’s San Juan Province, known for power generation, water regulation, and supporting local agriculture.
  • C. El Chañar Dam
    El Chañar Dam is a hydroelectric and irrigation dam located on the Neuquén River in Argentina’s Neuquén Province.
  • D. Juncal Dam
    Juncal Dam is a concrete arch dam in Santa Barbara County, California, that forms Jameson Lake and supplies drinking water to the city of Santa Barbara.
  • E. Cornalvo Dam
    Cornalvo Dam is an ancient Roman gravity dam in Spain, renowned for its well-preserved engineering and role in supplying water to the city of Mérida.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58ef2548190a81ff51baba76e48 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.