Triple
T28610398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAXM |
E724154
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | kernel extension |
C9691
|
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: kernel extension Context triple: [HAXM, instanceOf, kernel extension]
-
A.
Linux kernel module
chosen
A Linux kernel module is a piece of code that can be dynamically loaded into or removed from the Linux kernel to extend or modify its functionality without requiring a system reboot.
-
B.
monolithic kernel
A monolithic kernel is an operating system architecture where all core services (such as device drivers, file system management, and memory management) run in a single, shared address space in kernel mode.
-
C.
microkernel-based operating system
A microkernel-based operating system is one whose minimal core runs only essential services (such as inter-process communication, basic scheduling, and low-level hardware management), while higher-level services like device drivers, file systems, and network stacks execute in user space as separate, isolated processes.
-
D.
user-space kernel
A user-space kernel is a minimal operating system core that runs as a regular user-level process, providing kernel-like services (such as scheduling, memory management, and system call handling) without requiring privileged execution mode.
-
E.
Unix-like kernel
A Unix-like kernel is the core component of an operating system that manages hardware resources, provides essential system services, and offers a Unix-style interface and abstractions to user-space programs.
- 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.