Triple

T34616223
Position Surface form Disambiguated ID Type / Status
Subject Hafslund E-CO E888870 entity
Predicate hasEnergyTechnology P136516 FINISHED
Object hydroelectric turbines 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: hydroelectric turbines | Statement: [Hafslund E-CO, hasEnergyTechnology, hydroelectric turbines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnergyTechnology
Context triple: [Hafslund E-CO, hasEnergyTechnology, hydroelectric turbines]
  • A. energyTechnology chosen
    Indicates a relationship where one entity is a type, instance, or application of an energy-related technology associated with the other entity.
  • B. hasEnergyResource
    Indicates that an entity possesses, controls, or is associated with a source of usable energy.
  • C. fuelProductionTechnology
    Indicates the type of technology or method used to produce a particular fuel.
  • D. hasEnergyTransition
    Indicates a change in an entity’s primary energy source, technology, or system from one form or configuration to another over time.
  • E. hasEnergyManagement
    Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
  • 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_69f349d584e08190b40b9f6281ad50c4 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: May 1, 2026, 2:03 a.m.