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.

Alimentum is a cheap French restaurant located in the city centre near Yippee Noodle Bar with a customer rating of 5 out of 5.
name[Alimentum], food[French], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[Yippee Noodle Bar]

A Japanese food restaurant in the city centre area is called The Phoenix, they serve Japanese food with a lower customer rating. The prices are more than £30.
name[The Phoenix], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre]

The Vaults, a City Centre coffee shop with a river view, is priced as a mid-range shop. Café Brazil, a neighboring establishment, is less than a block away along that same river.

name[The Vaults], eatType[coffee shop], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Brazil]