Recognises a uniqueness rule with no unique key behind it
A uniqueness rule marked as enforced, with no primary key or unique constraint covering those columns.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 59% | Not shown |
| gemini-3.1-pro-preview* | Flagship | 84% | Not shown |
| 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 | 49% | Not shown |
| gpt-6-luna | Low cost | 57% | Not shown |
| claude-haiku-5-5 | Low cost | 55% | Not shown |
* From the earlier benchmark of 2026-10: 10 data-modelling test tasks, 3 runs per task, graded by claude-opus-5-5. These models have not taken the current 123 tasks yet; the two methods differ, so compare their figures with care. They are left out of the “most models” counts and the best-model picks.
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 rule and the missing primary key or unique constraint
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: BR-2: no two accounts share an IBAN, enforcement: constraint, and no uk_ on that column Acceptable: A unique constraint on the natural key, or the rule reassigned to a DQ check with a threshold (ANO-012)
Also known as: Uniqueness with nothing unique behind it (data rule)
Related knobits
Builds on
- K-356 Explains rule enforcement mechanisms and platform enforcement
- K-552 Explains candidate key and prime attribute
All 23 knobits of Document data rules in SBVR.
Source: Review checklist 02-data-rules (data-quality), row 11; formerly data-modelling K-311