Triple
T10602425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soar cognitive architecture |
E275783
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | production-system architecture |
C11745
|
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: production-system architecture Context triple: [Soar cognitive architecture, instanceOf, production-system architecture]
-
A.
industrial production system
An industrial production system is an organized arrangement of people, machines, materials, methods, and information designed to efficiently transform inputs into standardized goods or services at scale.
-
B.
production accounting system
A production accounting system is a software solution that tracks, measures, and reconciles production volumes, inventories, and related financial values across the entire production lifecycle to ensure accurate reporting and cost control.
-
C.
software architecture pattern
A software architecture pattern is a reusable, high-level design blueprint that defines the structure, interactions, and responsibilities of components within a software system to address recurring architectural problems.
-
D.
production facility
A production facility is a physical site equipped with machinery, resources, and personnel dedicated to manufacturing goods or processing materials at scale.
-
E.
software architecture concept
chosen
A software architecture concept is an abstract, high-level idea or pattern that defines how software system components are organized, interact, and evolve to meet functional and non-functional requirements.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 7:31 p.m.