Triple
T26240029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenCL C 1.2 |
E656285
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | C-based kernel language |
C25478
|
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: C-based kernel language Context triple: [OpenCL C 1.2, instanceOf, C-based kernel language]
-
A.
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.
-
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.
GPU programming language
chosen
A GPU programming language is a specialized language or extension designed to express highly parallel computations that run efficiently on graphics processing units.
-
E.
compiled language
A compiled language is a programming language whose source code is translated by a compiler into machine code or an intermediate form before execution, typically resulting in faster runtime performance.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:03 p.m.