Recognises match results depending on rule order
The first matching rule wins; reordering changes decisions.
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 | 79% | Not shown |
| gemini-3.5-flash-lite | Low cost | 46% | Not shown |
| gpt-6-luna | Low cost | 79% | Not shown |
| claude-haiku-5-5 | Low cost | 80% | 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: Scoring all rules before banding
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: Rules applied in order, first hit merges Acceptable: All rules scored, the band decides
Also known as: Results depending on rule order
Related knobits
Builds on
All 16 knobits of Define the matching rules.
Source: Review checklist 03-matching, row 4 (DMBOK)