Definition: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.

Positive Example 1 -
Input: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)Plant, 3)Building, 4)Company, 5)WrittenWork
Output: 3

Positive Example 2 -
Input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)MeanOfTransportation, 3)Building, 4)Company, 5)WrittenWork
Output: 2

Negative Example 1 -
Input: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)Plant, 3)Building, 4)Company, 5)WrittenWork
Output: No

Negative Example 2 -
Input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)Plant, 3)Building, 4)Company, 5)WrittenWork
Output: 5

Now complete the following example -
Input: Context: Dame Oyaji (ダメおやじ lit. No Good Dad) is a Japanese manga series written and illustrated by Mitsutoshi Furuya. It was serialized by Shogakukan in Shōnen Sunday from September 23 1970 (issue 43) to July 28 1982 (issue 30). Dame Oyaji received the 1979 Shogakukan Manga Award for shōnen manga.
Question: The document can be classified to which topic? 
Options: 1)NaturalPlace, 2)Artist, 3)Athlete, 4)Plant, 5)WrittenWork
Output: 


Output: 5