Based on prior knowledge, we can analyze the relationship between the feature "capital-loss" and the task of whether a person earns more than $50,000 per year.

The "capital-loss" feature represents the financial loss a person had in the previous year. Generally, higher capital losses indicate a lower income or financial instability. Therefore, it is expected that people with higher capital losses are more likely to earn less than $50,000 per year.

To create the requested dictionary, we need to determine five typical capital-loss values for each target class ('no' and 'yes'). Let's assume the following typical values:

For target class 'no':
- 0
- 1500
- 2000
- 2500
- 3000

For target class 'yes':
- 0
- 1000
- 2500
- 4000
- 5000

Based on these assumptions, the dictionary would look as follows:

```json
{
	"no": [0, 1500, 2000, 2500, 3000],
	"yes": [0, 1000, 2500, 4000, 5000]
}
```