### 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)

active_dags = dags_query.where(~DagModel.is_paused)
            paused_dags = dags_query.where(DagModel.is_paused)
            
            running_dags = dags_query.join(DagRun, DagModel.dag_id == DagRun.dag_id).where(
                DagRun.state == DagRunState.RUNNING
            )
            
            subq_all = (
                select(DagRun.dag_id, func.max(DagRun.start_date).label("start_date"))
                .group_by(DagRun.dag_id)
                .subquery()
            )
            subq_failed = (
                select(DagRun.dag_id, func.max(DagRun.start_date).label("start_date"))
                .where(DagRun.state == DagRunState.FAILED)
                .group_by(DagRun.dag_id)
                .subquery()
            )
            subq_join = (
                select(subq_all.c.dag_id, subq_all.c.start_date)
                .join(
                    subq_failed,
                    and_(
                        subq_all.c.dag_id == subq_failed.c.dag_id,
                        subq_all.c.start_date == subq_failed.c.start_date,
                    ),
                )
                .subquery()
            )
            failed_dags = dags_query.join(subq_join, DagModel.dag_id == subq_join.c.dag_id)