Triple

T15529142
Position Surface form Disambiguated ID Type / Status
Subject Lysebotn Hydropower Station E370163 entity
Predicate hasEnergyConversion P69207 FINISHED
Object potential energy of water to electrical energy 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: potential energy of water to electrical energy | Statement: [Lysebotn Hydropower Station, hasEnergyConversion, potential energy of water to electrical energy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnergyConversion
Context triple: [Lysebotn Hydropower Station, hasEnergyConversion, potential energy of water to electrical energy]
  • A. usesEnergyConversion chosen
    Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
  • B. usesEnergyFrom
    Indicates that one entity derives or consumes energy originating from another entity as its source.
  • C. emitsMoreEnergyThanItReceives
    Indicates that the subject releases a greater amount of energy than it takes in from its surroundings or inputs.
  • D. powerConversionSystem
    Indicates a system that transforms electrical power from one form, level, or source into another to meet specific usage or distribution requirements.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
PD Predicate disambiguation batch_69ded28ab0588190a47a9090d1238707 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 4:05 a.m.