Explains subject fields and field-specific concepts
When a concept belongs to one field and is marked, and when it is general.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 91% | Mastered |
| gemini-3.5-flash-lite | Low cost | 53% | Not shown |
| gpt-6-luna | Low cost | 53% | Not shown |
| claude-haiku-5-5 | Low cost | 91% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: When a concept belongs to one field and is marked, and when it is general
How it is assessed: Decides for sample concepts whether a field restriction is right
Related knobits
Needed for
All 18 knobits of Define business terms in the glossary.
Source: Data-management practice used by the stage 3 reference and review checklist; formerly data-modelling K-257