Based on prior knowledge, we can analyze the relationship between the feature "n_p_ecg_p_03" and the task of determining whether the patient shows chronic heart failure.

If a patient has a first-degree AV block on the ECG at the time of admission to the hospital, it may indicate a potential risk factor for chronic heart failure. However, it is important to note that a first-degree AV block does not necessarily mean that the patient has chronic heart failure. It is just one of the factors that could contribute to the development of chronic heart failure.

To create the dictionary, we will consider the possible values of "n_p_ecg_p_03" for each target class (yes and no). Let's assume that we have the following data:

n_p_ecg_p_03: ['no', 'no', 'yes', 'no', 'yes', 'no', 'yes', 'yes', 'no', 'yes']

Based on this data, the dictionary would be:

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

Please note that if there are more possible values for "n_p_ecg_p_03" apart from "no" and "yes", they should be included in the corresponding target class lists.