Triple
T24027615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranelift |
E595009
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | compiler backend |
C31223
|
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: compiler backend Context triple: [Cranelift, instanceOf, compiler backend]
-
A.
compiler
A compiler is a software tool that translates source code written in a high-level programming language into a lower-level target language, typically machine code or bytecode, while performing analysis and optimizations.
-
B.
compiler system
A compiler system is a software toolchain that translates high-level source code into lower-level machine or intermediate code, performing analysis, optimization, and code generation to produce an executable program.
-
C.
hardware compiler infrastructure
A hardware compiler infrastructure is a modular framework of tools, libraries, and intermediate representations that translate high-level hardware descriptions into optimized, low-level implementations for specific devices or technologies.
-
D.
LLVM component
chosen
An LLVM component is a modular part of the LLVM compiler infrastructure that provides specific functionality—such as code analysis, optimization, or target code generation—within the overall compilation pipeline.
-
E.
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.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
Created at: April 17, 2026, 9:54 p.m.