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.

Input: Consider Input: Alimentum is a family friendly burger joint that is cheap.

Output: name[Alimentum], food[Fast food], priceRange[less than £20], area[riverside], familyFriendly[yes]


Input: Consider Input: A restaurant in the riverside area, The Phoenix, offers English food in the lower price range but has a low customer rating.

Output: name[The Phoenix], food[English], priceRange[less than £20], customer rating[low], area[riverside]


Input: Consider Input: Offering Japanese food, The Olive Grove is a pub in the city centre that is adult only with high prices.


Output: name[The Olive Grove], eatType[pub], food[Japanese], priceRange[more than £30], area[city centre], familyFriendly[no]