Explains partitions of a concept into cases
Cases that together cover a concept, without gaps or overlaps.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 89% | Not shown |
| gemini-3.1-pro-preview | Flagship | 50% | Not shown |
| gpt-6-astra | Flagship | 52% | Not shown |
| claude-fable-5-1 | Flagship | 91% | Not shown |
| gemini-3.8-flash | Mid tier | 51% | Not shown |
| gpt-6.1-sol | Mid tier | 53% | Not shown |
| claude-sonnet-5-5 | Mid tier | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 60% | Not shown |
| gpt-6-luna | Low cost | 59% | Not shown |
| claude-haiku-5-5 | Low cost | 50% | Not shown |
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: Cases that together cover a concept, without gaps or overlaps
How it is assessed: Finds the uncovered case in sample partitions
Related knobits
Needed for
All 28 knobits of Document data rules as SBVR fact types and rule statements.
Source: Data-management practice used by the stage 3 reference and review checklist