Triple

T23313389
Position Surface form Disambiguated ID Type / Status
Subject NVMM E590639 entity
Predicate requires P100 FINISHED
Object Intel VT-x or AMD-V NE NERFINISHED

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: Intel VT-x or AMD-V | Statement: [NVMM, requires, Intel VT-x or AMD-V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intel VT-x or AMD-V
Context triple: [NVMM, requires, Intel VT-x or AMD-V]
  • A. Intel VT-x or AMD-V chosen
    Intel VT-x or AMD-V are hardware-assisted virtualization technologies built into modern Intel and AMD processors that enable efficient and secure running of virtual machines.
  • B. Intel VT-x
    Intel VT-x is Intel's hardware-assisted virtualization technology that enables more efficient and secure running of multiple operating systems on x86 processors.
  • C. AMD-V
    AMD-V is AMD’s hardware-assisted virtualization technology that enables efficient and secure running of virtual machines on compatible processors.
  • D. VMX
    VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
  • E. Intel VT-i
    Intel VT-i is Intel’s hardware-assisted virtualization technology designed specifically for Itanium-based server processors to improve performance, isolation, and manageability of virtualized environments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972ca70481909e2415c65964210a completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:06 p.m.