Based on prior knowledge, the relationship between the feature "BloodPressure" and the task "Does this person have diabetes?" can be analyzed as follows:

It is known that high blood pressure, also known as hypertension, is a common risk factor for diabetes. People with high blood pressure are more likely to develop diabetes compared to those with normal blood pressure. Thus, it can be expected that individuals with higher values of diastolic blood pressure (mm Hg) are more likely to have diabetes compared to those with lower values.

Based on this analysis, the dictionary with the specific details can be generated:

```json
{
	"yes": [85.0, 89.0, 92.0, 95.0, 98.0],  
	"no": [60.0, 65.0, 70.0, 75.0, 80.0]  
}
```

This dictionary signifies that for the target class "yes" (indicating a person with diabetes), possible values of the feature "BloodPressure" range from 85.0 to 98.0. Conversely, for the target class "no" (indicating a person without diabetes), possible values of the feature "BloodPressure" range from 60.0 to 80.0.

Please note that these ranges are based on hypothetical values and may not be accurate representations of actual data. Furthermore, it is important to conduct a thorough statistical analysis using a sufficient dataset to validate any actual relationship between the feature and the target.