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

Based on the given feature description, the feature "n_p_ecg_p_10" represents the presence or absence of Complete Left Bundle Branch Block (LBBB) on an electrocardiogram (ECG) at the time of admission to the hospital. The target variable of interest is whether the patient has chronic heart failure.

In this case, it seems that the feature "n_p_ecg_p_10" is directly related to the target variable. If the value of "n_p_ecg_p_10" is "yes", it indicates that the patient had Complete LBBB on ECG at the time of admission. This could potentially be a risk factor or indicator of chronic heart failure.

On the other hand, if the value of "n_p_ecg_p_10" is "no", it suggests that the patient did not have Complete LBBB on ECG at the time of admission. This would imply a lower likelihood of chronic heart failure.

Based on this analysis, the dictionary representing the relationship between the feature and the target variable would have the following structure:

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

This dictionary indicates that if the value of "n_p_ecg_p_10" is "no", it is associated with the target class "no" (indicating no chronic heart failure). Similarly, if the value is "yes", it is associated with the target class "yes" (indicating the presence of chronic heart failure).