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: The Phoenix is by the riverside. It has fast food for a high price and an average customer rating.

A: name[The Phoenix], food[Fast food], priceRange[high], customer rating[average], area[riverside]
****
Q: The coffee shop The Golden Palace is north of the city centre. It serves expensive food and has a 5 star rating.

A: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[riverside]
****
Q: The adult coffee shop serves fast food for £20-25. It has a high rating and is called Cocum.

A:
name[Cocum], eatType[coffee shop], food[Fast food], priceRange[£20-25], customer rating[high], familyFriendly[no]
****