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.

there is a coffee shop near from Burger King at city centre named The Eagle made Japanese food
name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]

If you are looking for a high-priced restaurant, go to Browns Cambridge, a Japanese restaurant with a customer rating of 3 out of 5.
name[Browns Cambridge], food[Japanese], priceRange[high], customer rating[3 out of 5]

Loch Fyne is a restaurant that serves English food that is not family-friendly.

name[Loch Fyne], eatType[restaurant], food[English], familyFriendly[no]