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.

Q: Serving French cuisine, The Waterman is in city centre with a low customer rating. Not children friendly.

A: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]
****
Q: The Phoenix is a fast food restaurant in the city centre.  Customers rated it 3 out of 5 and it is moderately priced.

A: name[The Phoenix], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre]
****
Q: The Wrestlers offers Japanese food in a mature dining environment, for under £20 customers say you could do worse.

A:
name[The Wrestlers], food[Japanese], priceRange[less than £20], customer rating[average], familyFriendly[no]
****