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.

[EX Q]: Moderately priced, The Phoenix Sushi restaurant sits next to the river.
[EX A]: name[The Phoenix], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside]

[EX Q]: Café Rouge has a restaurant nearby with an average customer rating called Wildwood.
[EX A]: name[Wildwood], eatType[restaurant], customer rating[average], near[Café Rouge]

[EX Q]: The Eagle is a low rated coffee shop in the riverside area, near Burger King. They also serve Indian food for less than £20 in a family friendly setting.
[EX A]:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes], near[Burger King]