Recognises overlapping master data domains
Two domains covering the same real-world things.
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 | 66% | Not shown |
| gemini-3.5-flash-lite | Low cost | 61% | Not shown |
| gpt-6-luna | Low cost | 60% | Not shown |
| claude-haiku-5-5 | Low cost | 62% | 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 domains and one domain with roles
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: MD-01 Customer and MD-04 Counterparty both include retail customers who borrow Acceptable: One party domain with roles
Also known as: Overlapping domains
Related knobits
Builds on
All 14 knobits of Scope the master data domains and choose the hub style.
Source: Review checklist 01-domains-hub-style, row 3 (DMBOK)