Triple
T32825740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curry (program transformation) |
E839550
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | technique in functional programming |
C60515
|
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: technique in functional programming Context triple: [Curry (program transformation), instanceOf, technique in functional programming]
-
A.
functional programming language
A functional programming language is a programming paradigm where computation is treated as the evaluation of mathematical functions, emphasizing immutability, first-class functions, and avoidance of side effects.
-
B.
technique in analysis
A technique in analysis is a systematic method or procedure used to examine, simplify, or solve mathematical problems involving limits, continuity, differentiation, integration, or related structures.
-
C.
counting technique
A counting technique is a systematic method used to determine the number of possible outcomes, arrangements, or selections in a given situation, often employing principles like addition, multiplication, permutations, and combinations.
-
D.
web development technique
A web development technique is a specific method or approach used to design, build, optimize, or maintain websites and web applications, often leveraging particular technologies, patterns, or best practices.
-
E.
parallel computing technique
A parallel computing technique is a method for dividing a computational task into smaller subtasks that can be executed simultaneously across multiple processors or cores to improve performance and efficiency.
- F. None of above. chosen
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.