Recognises duplicate metadata elements
Two elements for one meaning.
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 | 56% | Not shown |
| gemini-3.5-flash-lite | Low cost | 51% | Not shown |
| gpt-6-luna | Low cost | 54% | Not shown |
| claude-haiku-5-5 | Low cost | 54% | 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 elements and the one to keep
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: ME-006 customer_no and ME-008 client_id Acceptable: One element
Also known as: Duplicate element
Related knobits
Builds on
All 15 knobits of Define the content metadata schema.
Source: Review checklist 03-content-metadata, row 4 (23081-2)