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.

Example Input: Alimentum is a cheap, 5 star noodle restaurant that is near Yippee Noodle Bar.
Example Output: name[Alimentum], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[Yippee Noodle Bar]

Example Input: The Mill is a coffee shop located in City centre, near The Sorrento, that serves average-priced Italian cuisine.
Example Output: name[The Mill], eatType[coffee shop], food[Italian], priceRange[moderate], area[riverside], near[The Sorrento]

Example Input: Zizzi is an adult-only 1 starred pub serving traditional British food
Example Output:
name[Zizzi], eatType[pub], food[English], customer rating[low], familyFriendly[no]