Recognises a crosswalk not 1:1 treated as 1:1
Declared cardinality differs from the pairs, or a many-to-one crosswalk used in reverse.
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 | 84% | Not shown |
| gemini-3.5-flash-lite | Low cost | 81% | Not shown |
| gpt-6-luna | Low cost | 85% | Not shown |
| claude-haiku-5-5 | Low cost | 83% | 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 crosswalk, its true cardinality and its allowed direction
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CW-001 legacy loan status → account status is N:1, declared 1:1 and used to derive legacy status Acceptable: Cardinality N:1, forward use only
Also known as: Crosswalk not 1:1 treated as 1:1
Related knobits
Builds on
Usually followed by
All 17 knobits of Manage the reference data sets.
Source: Review checklist 02-reference-data, row 2 (DMBOK; 11179)