### 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)

try:
            dag.create_dagrun(
                run_type=DagRunType.MANUAL,
                execution_date=execution_date,
                data_interval=dag.timetable.infer_manual_data_interval(run_after=execution_date),
                state=DagRunState.QUEUED,
                conf=run_conf,
                external_trigger=True,
                dag_hash=get_airflow_app().dag_bag.dags_hash.get(dag_id),
                run_id=run_id,
            )
        except (ValueError, ParamValidationError) as ve:
            flash(f"{ve}", "error")
            form = DateTimeForm(data={"execution_date": execution_date})
            
            for k, v in form_fields.items():
                form_fields[k]["value"] = run_conf[k]
            return self.render_template(
                "airflow/trigger.html",
                form_fields=form_fields,
                dag=dag,
                dag_id=dag_id,
                origin=origin,
                conf=request_conf,
                form=form,
                is_dag_run_conf_overrides_params=is_dag_run_conf_overrides_params,
            )
        flash(f"Triggered {dag_id}, it should start any moment now.")
        return redirect(origin)
    def _clear_dag_tis(