Based on prior knowledge, let's analyze the relationship between the feature "FIB_G_POST" (Ventricular fibrillation at the time of admission to the intensive care unit) and the task of determining if the patient shows chronic heart failure.

Analysis:
1. If the patient had Ventricular fibrillation at the time of admission to the intensive care unit, it suggests a more severe cardiac condition, which could potentially lead to chronic heart failure. Therefore, it is likely that the presence of Ventricular fibrillation increases the likelihood of chronic heart failure.

Now, let's create the dictionary:

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

Explanation:
- For the target class "no" (chronic heart failure not present), the possible value of "FIB_G_POST" is "no".
- For the target class "yes" (chronic heart failure present), the possible value of "FIB_G_POST" is "yes".

Note: Since the feature "FIB_G_POST" is categorical with only two categories, we include all possible values for each target class.