Explains the ISO/IEC 11179-3 data element structure
A data element joins a data element concept (an object class and a property: its meaning) with a value domain (its representation); a column represents a concept rather than carrying a meaning of its own (ISO/IEC 11179-3:2023).
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 99% | Not shown |
| gpt-6-luna | Low cost | 96% | Not shown |
| claude-haiku-5-5 | Low cost | 99% | 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: A data element joins a data element concept (an object class and a property: its meaning) with a value domain (its representation); a column represents a concept rather than carrying a meaning of its own (ISO/IEC 11179-3:2023).
How it is assessed: Answers a written question on the data element and data element concept correctly
Related knobits
Needed for
- M-205 Recognises business meaning stored on a technical metadata class
- M-404 Recognises a business column with no glossary term
- M-652 Explains the kinds of data change and their reach
All 12 knobits of Design the metamodel.
Source: Practice the stage 2 reference and review checklist rest on