### Apache Airflow version

2.7.1

### What happened

Unable to retrieve logs for task inside task group inside mapped task group.
Got `404 "TaskInstance not found"` in network requests

### What you think should happen instead

_No response_

### How to reproduce

```
from datetime import datetime
from airflow import DAG
from airflow.decorators import task, task_group
from airflow.operators.bash import BashOperator
from airflow.utils.task_group import TaskGroup

with DAG("mapped_task_group_bug", schedule=None, start_date=datetime(1970, 1, 1)):
    @task
    def foo():
        return ["a", "b", "c"]


    @task_group
    def bar(x):
        with TaskGroup("baz"):
            # If child task group exists, logs 404
            #  "TaskInstance not found"
            # http://localhost:8080/api/v1/dags/mapped_task_group_bug/dagRuns/manual__2023-09-21T22:31:56.863704+00:00/taskInstances/bar.baz.bop/logs/2?full_content=false
            # if it is removed, logs appear
            BashOperator(task_id="bop", bash_command="echo hi $x", env={"x": x})


    bar.partial().expand(x=foo())
```

### Operating System

debian 11 / `astro dev start`

### Versions of Apache Airflow Providers

_No response_

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

num_runs = conf.getint("webserver", "default_dag_run_display_number")
        try:
            base_date = timezone.parse(request.args["base_date"], strict=True)
        except (KeyError, ValueError):
            base_date = dag.get_latest_execution_date() or timezone.utcnow()
        with create_session() as session:
            query = select(DagRun).where(DagRun.dag_id == dag.dag_id, DagRun.execution_date <= base_date)
        run_type = request.args.get("run_type")
        if run_type:
            query = query.where(DagRun.run_type == run_type)
        run_state = request.args.get("run_state")
        if run_state:
            query = query.where(DagRun.state == run_state)
        dag_runs = wwwutils.sorted_dag_runs(
            query, ordering=dag.timetable.run_ordering, limit=num_runs, session=session
        )
        encoded_runs = [wwwutils.encode_dag_run(dr, json_encoder=utils_json.WebEncoder) for dr in dag_runs]
        data = {
            "groups": dag_to_grid(dag, dag_runs, session),
            "dag_runs": encoded_runs,
            "ordering": dag.timetable.run_ordering,
        }
        
        return (
            htmlsafe_json_dumps(data, separators=(",", ":"), dumps=flask.json.dumps),
            {"Content-Type": "application/json; charset=utf-8"},
        )
    @expose("/object/historical_metrics_data")
    @auth.has_access_cluster_activity("GET")
    def historical_metrics_data(self):