Triple
T9002694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mach |
E215073
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | kernel architecture |
C2102
|
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 architecture Context triple: [Mach, instanceOf, kernel architecture]
-
A.
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.
-
B.
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.
-
C.
network architecture
A network architecture is the structured design and organization of hardware, software, protocols, and communication paths that define how data flows and services are delivered within a computer network.
-
D.
Unix-like kernel
chosen
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.
-
E.
microprocessor architecture
Microprocessor architecture is the conceptual design and organization of a computer’s central processing unit, defining its instruction set, data paths, control logic, memory hierarchy, and interfaces to efficiently execute 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 7:05 p.m.