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: The Green Man offers Italian food at a medium price range suitable for families. It is situated near All Bar One.

Output: name[Green Man], food[Italian], priceRange[moderate], area[riverside], familyFriendly[yes], near[All Bar One]


Input: Consider Input: Browns Cambridge serves Chinese at a moderate price, but has an average customer rating of 1 out of 5.

Output: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[1 out of 5]


Input: Consider Input: The Phoenix serves English food and has a customer rating of 5 out of 5, it is located in the riverside area.


Output: name[The Phoenix], food[English], priceRange[more than £30], customer rating[high], area[riverside]