Triple

T22309052
Position Surface form Disambiguated ID Type / Status
Subject Rio Tietê E551463 entity
Predicate hasDam P8736 FINISHED
Object Bariri 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: Bariri Dam | Statement: [Rio Tietê, hasDam, Bariri Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bariri Dam
Context triple: [Rio Tietê, hasDam, Bariri Dam]
  • A. Bariri Dam chosen
    Bariri Dam is a hydroelectric and river regulation structure located on Brazil’s Tietê River, contributing to regional power generation and water management.
  • B. Itumbiara Dam
    Itumbiara Dam is a large hydroelectric dam in Brazil known for generating significant electricity and forming one of the country’s major artificial reservoirs.
  • C. Rusape Dam
    Rusape Dam is a major reservoir in northeastern Zimbabwe that supplies water for irrigation, domestic use, and recreation to the town of Rusape and surrounding areas.
  • D. Itezhi-Tezhi Dam
    Itezhi-Tezhi Dam is a major hydroelectric and water-regulation dam in Zambia that helps control flows and generate power along the Kafue River system, a key tributary of the Zambezi.
  • E. Rantembe Dam
    Rantembe Dam is a hydroelectric and irrigation dam in Sri Lanka that forms part of the Mahaweli River development scheme.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574c8a248190bf5eef5be78381fd completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.