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

Based on the given feature description, it seems that the feature n_p_ecg_p_11 represents whether the patient has an Incomplete Right Bundle Branch Block (RBBB) on the electrocardiogram (ECG) at the time of admission to the hospital. 

To analyze the relationship between this feature and the presence of chronic heart failure (CHF), we can consider the following points:

1. Incomplete RBBB on ECG: Studies have shown that patients with CHF may have conduction abnormalities, including RBBB on their ECG. Thus, it is possible that the presence of an incomplete RBBB on the ECG at admission could be indicative of CHF. 

2. Other factors: While an incomplete RBBB on the ECG can be associated with CHF, it is essential to consider other clinical indicators and medical evaluations to confirm the presence of CHF. The feature described, n_p_ecg_p_11, is just one data point and should be considered along with other features and diagnostic tests to reach a conclusion.

Since the feature is categorical with only two possible values, 'no' and 'yes', we can create a dictionary to indicate which value(s) of this feature correspond to each target class:

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

This dictionary indicates that for the target class "no" (which represents no chronic heart failure), the only possible value for the feature n_p_ecg_p_11 is "no". Similarly, for the target class "yes" (which represents the presence of chronic heart failure), the only possible value for the feature n_p_ecg_p_11 is "yes".