Triple
T25932520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPIR-V |
E653470
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | binary intermediate language |
C26312
|
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: binary intermediate language Context triple: [SPIR-V, instanceOf, binary intermediate language]
-
A.
intermediate language
chosen
An intermediate language is a machine-independent, low-level representation of a program used as a bridge between high-level source code and machine code to facilitate optimization, portability, and analysis in compilers and related tools.
-
B.
binary translation technology
Binary translation technology is a system that dynamically or statically converts compiled machine code from one instruction set architecture to another so that software can run unmodified on different hardware platforms.
-
C.
virtual machine bytecode
Virtual machine bytecode is a low-level, platform-independent instruction set executed by a virtual machine, serving as an intermediate representation between high-level source code and machine code.
-
D.
register-based virtual machine
A register-based virtual machine is an abstract computing model that executes instructions by operating primarily on a fixed set of virtual registers rather than a stack.
-
E.
interpreted programming language
An interpreted programming language is a type of language whose source code is executed directly by an interpreter program, which reads and performs the instructions line by line without requiring prior compilation to machine code.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 8:37 a.m.