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.
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Question: A good Fast food restaurant is The Phoenix with a high costumer rating and low prices starting at £20-25. Located in city centre.

Answer: name[The Phoenix], food[Fast food], priceRange[£20-25], customer rating[high], area[city centre]


Question: The Cambridge Blue is a Japanese restaurant that has a customer rating of 1 out of 5.

Answer: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[1 out of 5]


Question: The Waterman provides Chinese food in the cheap price range. It is located in the riverside. Its customer rating is 5 out of 5.

Answer:
name[The Waterman], food[Chinese], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no]