Triple

T25139113
Position Surface form Disambiguated ID Type / Status
Subject Chirkey Reservoir E629750 entity
Predicate energyFunction P38768 FINISHED
Object hydropower storage 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: hydropower storage | Statement: [Chirkey Reservoir, energyFunction, hydropower storage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyFunction
Context triple: [Chirkey Reservoir, energyFunction, hydropower storage]
  • A. hasEnergyFunction chosen
    Indicates that an entity is associated with, governed by, or characterized through a specific energy function.
  • B. energyPotential
    Indicates a relationship where one entity possesses or confers the capacity to perform work or cause change (potential energy) relative to another entity or state.
  • C. performanceFunction
    Indicates a relationship where a function or mapping quantifies or evaluates the performance level of an entity, action, or system.
  • D. energyExpression
    Indicates that one entity represents, encodes, or specifies the energy (or energy-related formula/value) associated with another entity or system.
  • E. energyContribution
    Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
  • 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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f55e519978819087a1676564a74630 completed May 2, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69f4a0edd10c81908a052ab864d57c54 completed May 1, 2026, 12:47 p.m.
Created at: April 18, 2026, 6:29 a.m.