Based on prior knowledge, we can analyze the relationship between the feature "n_p_ecg_p_06" (Third-degree AV block on ECG at the time of admission to the hospital) and the task of determining if the patient shows chronic heart failure.

Typically, third-degree AV block on ECG is an abnormal heart rhythm that indicates an issue with the electrical conduction system of the heart. Chronic heart failure is a condition that can be caused by various heart conditions, including abnormalities in heart rhythms. Therefore, it is possible that patients with third-degree AV block on ECG at the time of admission to the hospital may have a higher risk of chronic heart failure.

To analyze the relationship more specifically, we need access to the myocardial infarction complications data for this patient, including information about whether they have chronic heart failure or not. By examining the data, we can determine how the feature "n_p_ecg_p_06" correlates with the presence of chronic heart failure.

Based on the analysis, we can create the dictionary as follows:

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

Since the feature "n_p_ecg_p_06" is a categorical variable with two categories ("no" and "yes"), the possible values for each target class (no and yes) are only "no" and "yes" respectively. Therefore, the dictionary contains these values for each target class.