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.

[EX Q]: The Chinese restaurant The Vaults is cheap, but not family friendly.
[EX A]: name[The Vaults], food[Chinese], priceRange[less than £20], familyFriendly[no]

[EX Q]: The Phoenix is a fast food restaurant in the city centre.  Customers rated it 3 out of 5 and it is moderately priced.
[EX A]: name[The Phoenix], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre]

[EX Q]: Cotto is in riverside near All Bar One with a high price range.
[EX A]:
name[Cotto], priceRange[high], area[riverside], near[All Bar One]