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: Near the Burger King, The Eagle is a coffee shop style Japanese, low price, this restaurant is a good place for kids.

Output: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes], near[Burger King]


Input: Consider Input: There is a cheap restaurant The Phoenix located in the centre of the city that provides take-away deliveries.

Output: name[The Phoenix], food[English], customer rating[average], area[riverside]


Input: Consider Input: Riverside Italian restaurant, The Waterman, provides poor service at a high price.


Output: name[The Waterman], food[Italian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no]