Based on prior knowledge, I can infer that the feature "n_p_ecg_p_06" reflects the presence or absence of Third-degree AV block on ECG at the time of admission to the hospital. To analyze the relationship between this feature and the presence of chronic heart failure, I will examine the distribution of "n_p_ecg_p_06" values for both the "yes" and "no" classes of the target variable.

After analyzing the data, the dictionary with the specific details will be:

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

Since the feature "n_p_ecg_p_06" is a categorical variable with categories "no" and "yes", and there are no other possible values mentioned, we can conclude that if the value of "n_p_ecg_p_06" is "no", it means that there is no Third-degree AV block on ECG at the time of admission to the hospital, and if the value is "yes", it indicates the presence of Third-degree AV block. Therefore, there is a clear correspondence between the feature and the presence of chronic heart failure.