Recognises a wrong business-area alignment
The BIAN business area does not fit the subject area, so vendor and business vocabularies diverge.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 35% | Not shown |
| gemini-3.5-flash-lite | Low cost | 17% | Not shown |
| gpt-6-luna | Low cost | 21% | Not shown |
| claude-haiku-5-5 | Low cost | 82% | 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: The subject area and the fitting business area
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: SA-005 Loan, bian_business_area: Payments Acceptable: Loans and Deposits
Also known as: Wrong or missing business-area alignment
Related knobits
Builds on
All 17 knobits of Build the enterprise data model of subject areas.
Source: Review checklist 02-enterprise-data-model, row 12 (BIAN)