In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: The Punter, is restaurant more than £30
Example Output: name[The Punter], food[Italian], priceRange[more than £30]

Example Input: A restaurant called Browns Cambridge sells average Chinese food at an moderate price.
Example Output: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]

Example Input: The Phoenix is a 1 star fast food restaurant located north of the city centre and is high-priced.
Example Output:
name[The Phoenix], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside]