Explains essential and delimiting characteristics
The characteristics every instance has and the ones telling the concept from its siblings.
Can AI do this?
AI does this well Most of the tested AI models master this. 10 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 100% | Mastered |
| gpt-6-astra | Flagship | 100% | Mastered |
| claude-fable-5-1 | Flagship | 100% | Mastered |
| gemini-3.8-flash | Mid tier | 100% | Mastered |
| gpt-6.1-sol | Mid tier | 100% | Mastered |
| claude-sonnet-5-5 | Mid tier | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 100% | Mastered |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | 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: The characteristics every instance has and the ones telling the concept from its siblings
How it is assessed: Decides for sample definitions whether they are too broad or too narrow
Related knobits
Needed for
- K-203 Recognises a negative definition
- K-204 Recognises a definition too broad for its concept
- K-205 Recognises a definition too narrow for its concept
- K-213 Writes an intensional definition of a business term
All 20 knobits of Define business terms.
Source: Data-management practice used by the stage 2 reference and review checklist