Pandas BUG: pyarrow dictionary type ordered argument not respected

Pandas version checks

• [X] I have checked that this issue has not already been reported.

• [X] I have confirmed this bug exists on the latest version of pandas.

• [X] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

>>> dicttyp = pa.dictionary(pa.int8(), pa.string(), ordered=True)
>>> dicttyp.ordered
>>> pd.Series(["foo", "bar", "foo"], dtype=pd.ArrowDtype(dicttyp))
0    foo
1    bar
2    foo
dtype: dictionary<values=string, indices=int8, ordered=0>[pyarrow]

### Issue Description

The pyarrow type above is ordered, but that gets lost when forwarded to pandas

### Expected Behavior

order should be respected

### Installed Versions

main

**Comment From: mroeschke**

Looks to be a pyarrow bug

```python
In [7]: pa.__version__
Out[7]: '15.0.1'

In [8]: dicttyp
Out[8]: DictionaryType(dictionary<values=string, indices=int8, ordered=1>)

In [9]: pa.array(["foo", "bar", "foo"], dicttyp).type
Out[9]: DictionaryType(dictionary<values=string, indices=int8, ordered=0>)

Comment From: WillAyd

Very nice catch. Just opened https://github.com/apache/arrow/issues/41017