```json
{
    "yes": ["yes"],
    "no": ["none"]
}
```

Based on the given feature, it seems that the "own_telephone" feature indicates whether or not the person owns a telephone. In this case, the target variable is whether or not the person receives a credit.

According to the given categories of the "own_telephone" feature, there are two distinct values: "yes" and "none".

From the analysis, it can be inferred that if the value of the "own_telephone" feature is "yes", the person is likely to receive a credit. On the other hand, if the value is "none", the person is less likely to receive a credit.

Therefore, in the dictionary representing the relationship between the feature and target variable, we have:

- For the target class "yes": The possible values of the "own_telephone" feature are ["yes"].
- For the target class "no": The possible values of the "own_telephone" feature are ["none"].