Table with name does not exist

### What happens?

Hello, I am able to perform the following set of steps successfully using duckdb shell (cli) but it breaks when done via the python library.

```
INSTALL aws;
INSTALL httpfs;
INSTALL iceberg;

CREATE OR REPLACE SECRET (
TYPE s3,
PROVIDER credential_chain
);

ATTACH OR REPLACE 'arn:aws:s3tables:...:bucket/s3_table' AS s3_tables_db (
TYPE iceberg,
ENDPOINT_TYPE s3_tables
);

# This works from the shell
FROM s3_tables_db.core.product LIMIT 5;
```

Any help at all would be appreciated.

### To Reproduce

```python
import duckdb

conn = duckdb.connect()
conn.install_extension("aws")
conn.install_extension("httpfs")
conn.install_extension("iceberg")
conn.sql(
"""
CREATE OR REPLACE SECRET (
TYPE s3,
PROVIDER credential_chain
);
"""
)
conn.sql(
"""
ATTACH OR REPLACE 'arn:aws:s3tables:...:bucket/s3_table' AS s3_tables_db (
TYPE iceberg,
ENDPOINT_TYPE s3_tables
);
"""
)

# Works
x = conn.execute("show all tables;").fetchall()

# Errors out
y = conn.execute(
"""
FROM s3_tables_db.core.product LIMIT 5;
"""
).fetchall()
```

Output
```
Exception has occurred: CatalogException
Catalog Error: Table with name product does not exist!
Did you mean "s3_tables_db.core.product"?
```

### OS:

OSX

### DuckDB Package Version:

1.4.1

### Python Version:

3.12

### Full Name:

Jibi Abraham

### Affiliation:

Razor Group

### What is the latest build you tested with? If possible, we recommend testing with the latest nightly build.

I have tested with a stable release

### Did you include all relevant data sets for reproducing the issue?

No - Other reason (please specify in the issue body)

### Did you include all code required to reproduce the issue?

- [x] Yes, I have

### Did you include all relevant configuration to reproduce the issue?

- [x] Yes, I have

Comienza ejecutando la reproducción de Python proporcionada con DuckDB 1.4.1 y compara su comportamiento de conn.execute con la consulta equivalente del shell de DuckDB. Rastrea los puntos de entrada de attach y de búsqueda de tablas implicados en la llamada de Python y, después, verifica que FROM s3_tables_db.core.product devuelva las mismas filas en ambos entornos.

Escrito por el modelo de indexación a partir del texto del issue.