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: Bibimbap House provides Chinese food in riverside. It is near The Rice Boat.

Output: name[Bibimbap House], food[Chinese], area[riverside], near[The Rice Boat]


Input: Consider Input: Moderately priced, The Phoenix Sushi restaurant sits next to the river.

Output: name[The Phoenix], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside]


Input: Consider Input: Fitzbillies is a coffee shop in the city centre, serving Japanese food.  IT has a high customer rating.  Prices range from £20-£25 and kids are welcome.


Output: name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes]