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 Rice Boat is adults only, upscale Italian dining, near the Express by Holiday Inn, in Riverside, that has a customer rating of 1 out of 5.

Output: name[The Rice Boat], food[Italian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: Wildwood is a high price, 5 star coffee shop located next to Ranch.

Output: name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], near[Ranch]


Input: Consider Input: The Phoenix sells cheap French food in the riverside area, but it has a one star customer rating.


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