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

Chest pain is a common symptom of heart disease, and the type of chest pain can provide insights into the underlying condition. Different chest pain types may indicate different levels of risk for heart disease. Therefore, analyzing the relationship between the "ChestPainType" feature and the target variable can help in determining if the coronary angiography shows a heart disease.

To create the dictionary as requested, we need to analyze the distribution of "ChestPainType" for each target class (yes and no).

Based on the given information, we do not have any additional data or statistics to analyze the relationship. However, we can assume that certain chest pain types may be more indicative of heart disease than others. To create the output dictionary, we will assume that ATA (Atypical Angina) and ASY (Asymptomatic) chest pain types are more likely to be associated with heart disease, while NAP (Non-Anginal Pain) and TA (Typical Angina) chest pain types are less likely to be associated with heart disease.

Therefore, based on this assumption, the output dictionary would look like:

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

Please note that this is an assumption made based on prior knowledge and the limited information provided. This analysis may not be completely accurate without more comprehensive data or statistical analysis.