Based on prior knowledge, the feature "n_r_ecg_p_03" refers to the presence or absence of ventricular contractions on ECG at the time of admission to the hospital. To determine if the patient has chronic heart failure, we need to analyze the relationship between this feature and the target variable.

To analyze the relationship, we can compare the distribution of the feature "n_r_ecg_p_03" for cases where chronic heart failure is present (target class "yes") and when it is not present (target class "no").

To create the dictionary, we need to identify the possible values of "n_r_ecg_p_03" for each target class. Here is the possible dictionary:

```json
{
	"no": ["no"],
	"yes": ["no", "yes"]
}
```
In this case, for the target class "no" (no chronic heart failure), the only possible value for "n_r_ecg_p_03" is 'no'. For the target class "yes" (chronic heart failure), both 'no' and 'yes' are possible values for "n_r_ecg_p_03".