Recognises a classification disagreeing with the physical model
The column's level here differs from its classification in data-modelling.
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 | 73% | Not shown |
| gemini-3.5-flash-lite | Low cost | 48% | Not shown |
| gpt-6-luna | Low cost | 74% | Not shown |
| claude-haiku-5-5 | Low cost | 75% | 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 two levels and the owner who decides
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CO-008 account.iban: confidential here, internal in the physical model Acceptable: One level, with the disagreement raised with the data owner
Also known as: Classification disagreeing with the physical model
Related knobits
Builds on
All 16 knobits of Classify data.
Source: Review checklist 02-classification, row 10 (DMBOK)