Triple
T31646441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLton |
E807595
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | whole-program optimizing compiler |
C5302
|
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: whole-program optimizing compiler Context triple: [MLton, instanceOf, whole-program optimizing compiler]
-
A.
compiler
chosen
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.
compiler-construction technique
A compiler-construction technique is a systematic method or strategy used to translate high-level source code into efficient, executable machine code while preserving the program’s intended semantics.
-
D.
polyhedral optimizer
A polyhedral optimizer is a compiler component that analyzes and transforms loop nests using polyhedral models to improve performance through advanced loop restructuring, parallelization, and locality optimization.
-
E.
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.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 10:51 p.m.