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 Input:
In the city centre lies Aromi, a French coffee shop for adults with a low customer rating.

Ex Output:
name[Aromi], eatType[coffee shop], food[French], customer rating[low], area[city centre], familyFriendly[no]


Ex Input:
The Mill is a coffee shop located in City centre, near The Sorrento, that serves average-priced Italian cuisine.

Ex Output:
name[The Mill], eatType[coffee shop], food[Italian], priceRange[moderate], area[riverside], near[The Sorrento]


Ex Input:
The Phoenix in the City Centre is a French restaurant known for its expensive and poorly reviewed food.

Ex Output:

name[The Phoenix], food[French], priceRange[more than £30], customer rating[low], area[city centre]