Triple
T32825739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curry (program transformation) |
E839550
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | program transformation technique |
C52062
|
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: program transformation technique Context triple: [Curry (program transformation), instanceOf, program transformation technique]
-
A.
compiler-construction technique
chosen
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.
-
B.
logical transformation technique
A logical transformation technique is a systematic method for converting one logical representation, expression, or structure into another while preserving its intended meaning or truth conditions.
-
C.
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.
-
D.
mathematical transformation
A mathematical transformation is a function or operation that systematically maps elements from one set or space to another, often altering their position, scale, orientation, or form while following defined rules.
-
E.
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.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:15 a.m.