Based on prior knowledge, a third-degree AV block on an ECG can be associated with chronic heart failure. Therefore, it is possible that if the feature "n_p_ecg_p_06" indicates a third-degree AV block ("yes"), it could be an indication of chronic heart failure.

Based on this analysis, we can create the following dictionary:

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```

In this case, since the feature "n_p_ecg_p_06" is a categorical variable with only two possible values ("no" and "yes"), we can directly map these values to the respective target classes. The list for each target class contains the value(s) of the feature that are associated with that particular class.