Recognises overlapping value-set rules on one fact type
Two value-set rules on one fact type. The permitted set becomes their intersection, which is never what either author meant.
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 | 83% | Not shown |
| gemini-3.1-pro-preview | Flagship | 100% | Mastered |
| gpt-6-astra | Flagship | 100% | Mastered |
| claude-fable-5-1 | Flagship | 84% | Not shown |
| 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 | 32% | 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: The two sets and their unintended intersection
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: BR-6: account status is one of OPN, DOR, CLS; BR-8: account status is one of OPN, DOR, CLS, BLK Acceptable: One value set, versioned, owned by a steward; if the narrower set is a project-phase decision, say so in the rule (ANO-005)
Also known as: Overlapping value sets (data rule)
Related knobits
Builds on
All 28 knobits of Document data rules as SBVR fact types and rule statements.
Source: Review checklist 03-data-rules, row 5