Triple

T23588889
Position Surface form Disambiguated ID Type / Status
Subject Hall–Héroult process E582418 entity
Predicate energyIntensity P7394 FINISHED
Object high specific electricity consumption 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 specific electricity consumption | Statement: [Hall–Héroult process, energyIntensity, high specific electricity consumption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyIntensity
Context triple: [Hall–Héroult process, energyIntensity, high specific electricity consumption]
  • A. energyUse chosen
    Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
  • B. energyContext
    Indicates the situational or environmental conditions under which energy is produced, used, transferred, or transformed in relation to the entities involved.
  • C. countryUsesPower
    Indicates that a country employs or exercises a particular form of power (such as political, economic, or military) in some context or toward some target.
  • D. energyAspect
    Indicates a relationship where one entity represents an aspect, component, or characteristic related to the energy properties or behavior of another entity.
  • E. energyUtilization
    Indicates how effectively an entity uses available energy to perform work or sustain its functions.
  • 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_69e248f9e0a08190814772847003b1ff completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0336aec8190856aee4a8273c3e5 completed April 29, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:41 p.m.