Based on prior knowledge, the relationship between the "ChestPainType" feature and the task of determining whether the coronary angiography shows a heart disease can be analyzed.

It is worth noting that chest pain can be an important clinical indicator of heart disease. Different types of chest pain may be associated with different underlying causes. In this case, the "ChestPainType" feature consists of the following categories: 'ATA', 'NAP', 'ASY', and 'TA'.

To analyze the relationship between the feature and the target, we can examine the distribution of each category of chest pain type for both the "yes" and "no" classes of the target variable.

Based on the analysis, the dictionary can be generated as follows:

```json
{
	"no": ["NAP", "ASY"], 
	"yes": ["ATA", "TA"]
}
```

Explanation:
- When the target class is "no" (no heart disease), the possible values of the "ChestPainType" feature are "NAP" (Non-anginal pain) and "ASY" (Asymptomatic). These chest pain types are more commonly associated with non-cardiac causes and are less likely to indicate heart disease.
- When the target class is "yes" (heart disease present), the possible values of the "ChestPainType" feature are "ATA" (Atypical angina) and "TA" (Typical angina). These chest pain types are more indicative of cardiac causes and are more likely to be associated with heart disease.

Note: This analysis assumes that the categories 'ATA', 'NAP', 'ASY', and 'TA' are the only possible values for the "ChestPainType" feature.