Triple
T22202173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | parallel distributed processing |
E548708
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cognitive framework |
C28692
|
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: cognitive framework Context triple: [parallel distributed processing, instanceOf, cognitive framework]
-
A.
cognitive neuroscience model
A cognitive neuroscience model is a theoretical or computational framework that explains how brain structures and neural processes give rise to cognitive functions such as perception, memory, decision-making, and language.
-
B.
symbolic cognitive architecture
chosen
A symbolic cognitive architecture is a computational framework that models human-like cognition using explicit, manipulable symbols and rule-based processes to represent and transform knowledge.
-
C.
semantic framework
A semantic framework is a structured system of concepts, rules, and relationships used to define, interpret, and reason about meaning within a particular domain or language.
-
D.
knowledge representation framework
A knowledge representation framework is a structured system of formalisms, models, and conventions used to encode, organize, and manipulate information so that it can be interpreted and reasoned about by humans and machines.
-
E.
educational framework
An educational framework is a structured model that outlines the principles, goals, content, methods, and assessment strategies guiding the design and delivery of teaching and learning experiences.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:36 p.m.