# let's extract the golden claims
gold_claims = extract_claims(query, golden_answer, model, client)

print(f"List of claims extracted from the gold answer:\n\n{gold_claims}")
```

```txt title="Output"
List of claims extracted from the gold answer:

- For the quarterly period ended June 25, 2022, the total net sales were $82,959 million.
- For the quarterly period ended December 31, 2022, the total net sales were $117,154 million.
- For the quarterly period ended April 1, 2023, the total net sales were $94,836 million.
- For the quarterly period ended July 1, 2023, the total net sales were $81,797 million.
- There was an increase in total net sales from the quarter ended June 25, 2022, to the quarter ended December 31, 2022.
- There was a decrease in total net sales in the quarters ended April 1, 2023, and July 1, 2023.
```

Then, we check which of these claims is present in the response generated by the model.

```python PYTHON