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: Along the riverside is The Phoenix with an average customer rating that sells Italian food

A: name[The Phoenix], food[Italian], customer rating[average], area[riverside]
****
Q: The Blue Spice in the riverside area has French food and average prices.

A: name[Blue Spice], food[French], priceRange[£20-25], area[riverside]
****
Q: Fitzbillies is an average-priced Chinese restaurant located near The Six Bells.

A:
name[Fitzbillies], food[Chinese], priceRange[£20-25], near[The Six Bells]
****