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: A low priced Italian restaurant located in the centre of the city near All Bar One, Green Man is not family-friendly.
Example Output: name[Green Man], food[Italian], priceRange[less than £20], area[city centre], familyFriendly[no], near[All Bar One]

Example Input: Bibimbap House is a moderately priced restaurant who's main cuisine is English food. You will find this local gem near Clare Hall in the Riverside area.
Example Output: name[Bibimbap House], food[English], priceRange[moderate], area[riverside], near[Clare Hall]

Example Input: Customers absolutely love The Rice Boat, a children-friendly Italian restaurant located in the Riverside area.
Example Output:
name[The Rice Boat], food[Italian], customer rating[high], area[riverside], familyFriendly[yes]