Explains generic and partitive concept relations
Kind-of and part-of relations between concepts in a concept system.
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: Kind-of and part-of relations between concepts in a concept system
How it is assessed: Classifies sample concept pairs as generic, partitive or neither
Related knobits
Needed for
- K-207 Recognises a part concept tied to one whole
- K-251 Explains intensional definition by superordinate concept and delimiting characteristics
- K-451 Explains hierarchical relations and the all-and-some test
All 20 knobits of Define business terms.
Source: Data-management practice used by the stage 2 reference and review checklist