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: There's an inexpensive pub called Wildwood that sells a decent British breakfast.

Output: name[Wildwood], eatType[pub], food[English], priceRange[cheap], customer rating[average]


Input: Consider Input: If you're looking for a cheap, family-friendly Fast food coffee shop, with an excellent customer rating of 5 out of 5, then go to The Eagle located near Burger King in the city centre.

Output: name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Burger King]


Input: Consider Input: In the city centre is The Phoenix, which has a customer rating of 5 out of 5, serves Japanese food and has a price range of more than £30.


Output: name[The Phoenix], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[city centre]