Based on prior knowledge, here's a thorough analysis of the relationship between the BloodPressure feature and the task of determining if a person has diabetes:

Blood pressure is an important physiological measurement that can be indicative of various health conditions, including diabetes. However, it is essential to note that diastolic blood pressure alone may not be sufficient to accurately predict the presence of diabetes. A comprehensive assessment of various other factors, such as glucose levels, insulin resistance, and medical history, is necessary for a more accurate diagnosis.

In general, higher diastolic blood pressure readings may be associated with an increased risk of diabetes, as hypertension is a common comorbidity. However, it is important to remember that individual health characteristics and lifestyle factors can also influence these relationships.

To create the dictionary with BloodPressure values for each target class ['yes', 'no'], we can consider the following typical values:

```json
{
    "yes": [80.5, 83.2, 95.1, 88.6, 92.3],
    "no": [76.2, 79.8, 79.1, 81.4, 84.9]
}
```

Please note that these values are just examples and should not be interpreted as definitive thresholds for diagnosing diabetes based purely on diastolic blood pressure. The actual relationship between BloodPressure and the presence of diabetes should be investigated using comprehensive analysis techniques, such as statistical modeling or machine learning algorithms, on appropriate datasets.