Recognises structured remittance truncated into free text
A structured reference put into unstructured text, or cut.
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 | 82% | Not shown |
| gemini-3.5-flash-lite | Low cost | 58% | Not shown |
| gpt-6-luna | Low cost | 81% | Not shown |
| claude-haiku-5-5 | Low cost | 38% | 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 reference and the structured element
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: EM-006 creditor reference RF18... -> RmtInf/Ustrd with the invoice list, cut at 140 Acceptable: RmtInf/Strd/CdtrRefInf/Ref (ISO 11649)
Also known as: Structured remittance truncated
Related knobits
Builds on
Usually followed by
All 15 knobits of Specify data exchanges.
Source: Review checklist 04-exchange-specifications, row 2 (EPC; 11649)