### 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)

fails_dict_key = (first_ti.dag_id, first_ti.task_id, first_ti.run_id)
                fails_total = fails_totals[fails_dict_key]
                y_points[first_ti.task_id].append(float(duration + fails_total))
        cumulative_y = {k: list(itertools.accumulate(v)) for k, v in y_points.items()}
        
        
        y_unit = infer_time_unit([d for t in y_points.values() for d in t])
        cum_y_unit = infer_time_unit([d for t in cumulative_y.values() for d in t])
        
        chart.create_y_axis("yAxis", format=".02f", custom_format=False, label=f"Duration ({y_unit})")
        chart.axislist["yAxis"]["axisLabelDistance"] = "-15"
        cum_chart.create_y_axis("yAxis", format=".02f", custom_format=False, label=f"Duration ({cum_y_unit})")
        cum_chart.axislist["yAxis"]["axisLabelDistance"] = "-15"
        for task_id in x_points:
            chart.add_serie(
                name=task_id + "[]" if task_id in mapped_tis else task_id,
                x=x_points[task_id],
                y=scale_time_units(y_points[task_id], y_unit),
            )
            cum_chart.add_serie(
                name=task_id + "[]" if task_id in mapped_tis else task_id,
                x=x_points[task_id],
                y=scale_time_units(cumulative_y[task_id], cum_y_unit),
            )
        max_date = max((ti.execution_date for ti in task_instances), default=None)
        session.commit()
        form = DateTimeWithNumRunsForm(
            data={
                "base_date": max_date or timezone.utcnow(),
                "num_runs": num_runs,