Triple

T8815081
Position Surface form Disambiguated ID Type / Status
Subject WiiConnect24 E209756 entity
Predicate powerConsumptionConcern P34611 FINISHED
Object higher standby power usage 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: higher standby power usage | Statement: [WiiConnect24, powerConsumptionConcern, higher standby power usage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerConsumptionConcern
Context triple: [WiiConnect24, powerConsumptionConcern, higher standby power usage]
  • A. energyUse
    Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
  • B. energyUtilization
    Indicates how effectively an entity uses available energy to perform work or sustain its functions.
  • C. powerOptimizationFor
    Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
  • D. showsPowerUse
    Indicates that one entity demonstrates or exercises power, influence, or control over another entity or within a given context.
  • E. electricityUse chosen
    Indicates the amount or pattern of electrical energy consumed by an entity during a specified period or activity.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff2ff248190bafcafe8b3860e53 completed March 31, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69cc5c21e64c81908490e3b0875dc0d6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:45 p.m.