Triple

T22554381
Position Surface form Disambiguated ID Type / Status
Subject Lagdo E557641 entity
Predicate hasHydroelectricDam P15311 FINISHED
Object Lagdo 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: Lagdo Dam | Statement: [Lagdo, hasHydroelectricDam, Lagdo Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagdo Dam
Context triple: [Lagdo, hasHydroelectricDam, Lagdo Dam]
  • A. Betania Dam
    Betania Dam is a major hydroelectric dam and reservoir in Colombia, known for generating power and supporting irrigation and aquaculture in the Huila region.
  • B. Bariri Dam
    Bariri Dam is a hydroelectric and river regulation structure located on Brazil’s Tietê River, contributing to regional power generation and water management.
  • C. 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.
  • D. Imha Dam
    Imha Dam is a major multipurpose dam in South Korea known for flood control, water supply, and hydroelectric power generation.
  • E. Baipaza Dam
    Baipaza Dam is a major hydroelectric dam in Tajikistan that harnesses the Vakhsh River to generate power and support regional water management.
  • 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: Lagdo Dam
Target entity description: Lagdo Dam is a major hydroelectric and irrigation dam on the Benue River in northern Cameroon, built to generate power and support regional water management.
  • A. Betania Dam
    Betania Dam is a major hydroelectric dam and reservoir in Colombia, known for generating power and supporting irrigation and aquaculture in the Huila region.
  • B. Bariri Dam
    Bariri Dam is a hydroelectric and river regulation structure located on Brazil’s Tietê River, contributing to regional power generation and water management.
  • C. 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.
  • D. Imha Dam
    Imha Dam is a major multipurpose dam in South Korea known for flood control, water supply, and hydroelectric power generation.
  • E. Baipaza Dam
    Baipaza Dam is a major hydroelectric dam in Tajikistan that harnesses the Vakhsh River to generate power and support regional water management.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f780fb88190836408c6de3d3966 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.