Triple

T7916775
Position Surface form Disambiguated ID Type / Status
Subject El Quimbo Dam E183845 entity
Predicate alsoKnownAs P39 FINISHED
Object Presa El Quimbo E183845 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: Presa El Quimbo | Statement: [El Quimbo Dam, alsoKnownAs, Presa El Quimbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Presa El Quimbo
Context triple: [El Quimbo Dam, alsoKnownAs, Presa El Quimbo]
  • A. Chicoasén Dam
    Chicoasén Dam is a major hydroelectric dam in Chiapas, Mexico, known as one of the largest power-generating facilities in the country.
  • B. El Quimbo Dam chosen
    El Quimbo Dam is a large hydroelectric dam on the Magdalena River in Colombia, built to generate power and support the country’s energy supply.
  • C. Arroyito Dam
    Arroyito Dam is a hydroelectric and flood-control dam located on Argentina’s Limay River in the Patagonia region.
  • D. San Carlos Dam
    San Carlos Dam is a major concrete gravity dam in Arizona that creates San Carlos Lake and provides irrigation water, flood control, and hydroelectric power along the Gila River.
  • E. El Chocón Dam
    El Chocón Dam is a large hydroelectric dam in Argentina known for its significant role in power generation and flood control on the Limay 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8e8b388190b5544eb5b8159e07 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be9e6548190a01d2e6db8dc4864 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:05 p.m.