Triple

T174882
Position Surface form Disambiguated ID Type / Status
Subject Sun Belt E3553 entity
Predicate energyUse P7394 FINISHED
Object high electricity consumption for cooling 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: high electricity consumption for cooling | Statement: [Sun Belt, energyUse, high electricity consumption for cooling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyUse
Context triple: [Sun Belt, energyUse, high electricity consumption for cooling]
  • A. designEnergy
    Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another entity.
  • B. usesElectricityStandard
    Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
  • C. storesEnergyAs
    Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
  • D. economicUse
    Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
  • E. electrification
    Indicates the process or state of providing electrical power or converting something to operate using electricity.
  • F. None of above. chosen

Provenance (4 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e32da88190ad9485aecd0bf08f completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a25669d99481908c5e82ba8641205a completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a258b30f6c8190be2181f30c40e04d completed Feb. 28, 2026, 2:53 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.