Triple

T25117050
Position Surface form Disambiguated ID Type / Status
Subject Inga Falls E629156 entity
Predicate estimatedHydropowerPotential P27462 FINISHED
Object over 40,000 MW LITERAL 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: over 40,000 MW | Statement: [Inga Falls, estimatedHydropowerPotential, over 40,000 MW]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedHydropowerPotential
Context triple: [Inga Falls, estimatedHydropowerPotential, over 40,000 MW]
  • A. hydropowerPotential chosen
    Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
  • B. isHydroelectricallyDeveloped
    Indicates that an entity has been developed to generate electricity using hydropower infrastructure or facilities.
  • C. hasHydropowerRoleIn
    Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
  • D. hydroelectricStationCapacity
    Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
  • E. rankAmongWorldHydroelectricPlantsByCapacity
    Indicates the position of a hydroelectric plant in a global ranking ordered by its electricity generation capacity.
  • F. None of above.

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_69e2ff3169d08190973b6061d5009abd completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465c7b88c81909fefbf647d1b810d completed May 1, 2026, 8:35 a.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:27 a.m.