TASK DEFINITION: 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.
PROBLEM: For Chinese food go to Cotto in the city center near Café Rouge.

SOLUTION: name[Cotto], food[Chinese], near[Café Rouge]

PROBLEM: There is a cheap, family friendly French coffee shop called Cocum. It has a customer Rating of 5 out of 5.

SOLUTION: name[Cocum], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes]

PROBLEM: The Phoenix serves Indian cuisine and has been given an average rating by customers. The Phoenix is located near the riverside.

SOLUTION:
name[The Phoenix], food[Indian], customer rating[average], area[riverside]