Based on prior knowledge, the presence of LBBB (left bundle branch block) on an electrocardiogram (ECG) can be associated with various cardiovascular conditions, including myocardial infarction and heart failure. In this case, the feature "n_p_ecg_p_07" represents the presence of LBBB on ECG at the time of admission to the hospital.

To determine the relationship between this feature and the presence of chronic heart failure in a patient with myocardial infarction complications, we need additional information about the dataset and possibly other features. Analyzing this feature alone might not be sufficient to determine the presence of chronic heart failure accurately.

However, based on the given feature description, we can construct a dictionary to show the possible values of the feature "n_p_ecg_p_07" for each target class (i.e., whether chronic heart failure is present or not).

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

Since the feature "n_p_ecg_p_07" is a categorical variable with two categories ('no' and 'yes'), we include these categories in the dictionary for both target classes.