Triple
T36489137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | connectionism |
E899009
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computational paradigm |
C39344
|
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: computational paradigm Context triple: [connectionism, instanceOf, computational paradigm]
-
A.
model of computation
A model of computation is an abstract mathematical framework that defines how algorithms are represented and executed, specifying the rules, operations, and resources available for performing computations.
-
B.
programming paradigm
A programming paradigm is a fundamental style or approach to computer programming that shapes how developers structure, organize, and reason about code and computation.
-
C.
machine learning paradigm
chosen
A machine learning paradigm is a conceptual framework that defines how models learn from data, including the assumptions, learning objectives, and training procedures that guide the development and application of algorithms.
-
D.
optimization paradigm
An optimization paradigm is a conceptual framework that defines how to formulate, search for, and evaluate solutions to a problem in order to find the best (or sufficiently good) outcome under given constraints and objectives.
-
E.
computing platform
A computing platform is an integrated environment of hardware, operating systems, runtime libraries, and tools that together support the execution and development of software applications.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.