Triple
T27593239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gVisor |
E699829
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | user-space kernel |
C52991
|
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: user-space kernel Context triple: [gVisor, instanceOf, user-space kernel]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Linux kernel module
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.
-
E.
multiuser operating system
A multiuser operating system is a software environment that allows multiple users to access and use a computer system's resources simultaneously and independently, typically through separate user accounts and sessions.
- F. None of above. chosen
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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 2:06 p.m.