Triple

T19451558
Position Surface form Disambiguated ID Type / Status
Subject Apple A10 Fusion E486623 entity
Predicate powerEfficiencyClaim P27882 FINISHED
Object improved power efficiency over Apple A9 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: improved power efficiency over Apple A9 | Statement: [Apple A10 Fusion, powerEfficiencyClaim, improved power efficiency over Apple A9]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerEfficiencyClaim
Context triple: [Apple A10 Fusion, powerEfficiencyClaim, improved power efficiency over Apple A9]
  • A. energyEfficiencyFeature chosen
    Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
  • B. powerConsumptionWatts
    Indicates the amount of electrical power an entity uses, measured in watts, during its operation.
  • C. powerBudgetCharacteristic
    Indicates a relationship where an entity’s power consumption limits, allocations, or constraints are specified as a characteristic or parameter.
  • D. powerOptimizationFor
    Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
  • E. powerOptimized
    Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63392aab08190aab09b7c356e5b10 completed April 20, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e4fd7499a4819082bec0be8afba35c completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:38 p.m.