Triple
T28610396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAXM |
E724154
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hardware-assisted virtualization engine |
C22265
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: hardware-assisted virtualization engine Context triple: [HAXM, instanceOf, hardware-assisted virtualization engine]
-
A.
hardware-assisted virtualization technology
chosen
Hardware-assisted virtualization technology is a set of CPU and chipset features that enable virtual machines to run more efficiently and securely by offloading key virtualization tasks from software to the hardware layer.
-
B.
hardware-assisted I/O virtualization technology
Hardware-assisted I/O virtualization technology is a set of processor and chipset features that enable efficient, secure sharing and direct assignment of physical I/O devices to multiple virtual machines by offloading key virtualization tasks from software to hardware.
-
C.
virtual machine monitor
A virtual machine monitor is a software layer that creates, runs, and manages virtual machines by abstracting and controlling the underlying physical hardware resources.
-
D.
virtual machine monitor
A virtual machine monitor is a software or firmware layer that creates, manages, and isolates virtual machines by mediating access to the underlying hardware resources.
-
E.
hardware accelerator
A hardware accelerator is a specialized computing device or component designed to perform specific tasks or algorithms more efficiently and faster than a general-purpose processor.
- F. None of above.
Provenance (1 batch)
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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 28, 2026, 4:29 a.m.