Triple

T25933327
Position Surface form Disambiguated ID Type / Status
Subject Intel Gaussian and Neural Accelerator 2.0 E653485 entity
Predicate powerDomain P163039 FINISHED
Object separate low-power island 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: separate low-power island | Statement: [Intel Gaussian and Neural Accelerator 2.0, powerDomain, separate low-power island]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerDomain
Context triple: [Intel Gaussian and Neural Accelerator 2.0, powerDomain, separate low-power island]
  • A. powersFeature
    Indicates that one entity provides the underlying functionality or capability that enables a particular feature of another entity.
  • B. powerBy
    Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
  • C. powersType
    Indicates that one entity has a specific type or category of power or ability in relation to another entity.
  • D. powerDependsOn
    Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
  • E. powerInterface
    Indicates that one entity serves as a power-providing interface or connection point for another entity, enabling the transfer or supply of electrical power.
  • 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_69e7ab3eb9b881909c1390690551f868 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 22, 2026, 8:37 a.m.