Triple

T14574233
Position Surface form Disambiguated ID Type / Status
Subject Bayano River E341996 entity
Predicate hasHydroelectricDam P15311 FINISHED
Object Bayano Dam E967995 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: Bayano Dam | Statement: [Bayano River, hasHydroelectricDam, Bayano Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayano Dam
Context triple: [Bayano River, hasHydroelectricDam, Bayano Dam]
  • A. Bayano Dam chosen
    Bayano Dam is a major hydroelectric dam in Panama that impounds the Bayano River to form Bayano Lake and supply power to the country.
  • B. Macagua Dam
    Macagua Dam is a major hydroelectric dam complex in Venezuela that forms part of the Guri–Macagua–Caruachi system generating power from the Caroní River.
  • C. Nangbeto Dam
    Nangbeto Dam is a hydroelectric and irrigation dam on the Mono River in West Africa, jointly developed by Togo and Benin to generate power and support regional water management.
  • D. Pracana Dam
    Pracana Dam is a hydroelectric and water management dam located on the Ocreza River in central Portugal, contributing to the regulation and use of resources in the Tagus River basin.
  • E. Pangue Dam
    Pangue Dam is a major hydroelectric power facility in Chile, built on the Biobío River to generate electricity and support the country’s energy needs.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8acc788081909c41905785fa9a29 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.