Introduces subtypes for attributes applying to only some instances
Replaces optional attributes that are optional only because they do not apply to some instances with subtypes, so a null no longer means two things.
Can AI do this?
AI does this well Most of the tested AI models master this. 7 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 96% | Mastered |
| gpt-6-astra | Flagship | 67% | Not shown |
| claude-fable-5-1 | Flagship | 100% | Mastered |
| gemini-3.8-flash | Mid tier | 100% | Mastered |
| gpt-6.1-sol | Mid tier | 68% | Not shown |
| claude-sonnet-5-5 | Mid tier | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 45% | Not shown |
| 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: Subtypes carrying the attributes that apply to them, each mandatory where it applies
How it is assessed: Each attribute sits on the subtype it applies to and can be mandatory there; the exclusivity is written down
Related knobits
Builds on
Usually followed by
All 56 knobits of Derive the logical data model.
Source: Stage 5 reference (references/05-logical.md) and the skill-tests logical-model task