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 Q]: In city centre there is an Indian place called Loch Fyne, it has low ratings but is right there near The Rice Boat.
[EX A]: name[Loch Fyne], food[Indian], customer rating[low], area[city centre], near[The Rice Boat]

[EX Q]: Alimentum has a customer rating of 1 out of 5 and serves moderately priced Italian food near Yippee Noodle Bar in the riverside area.
[EX A]: name[Alimentum], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[Yippee Noodle Bar]

[EX Q]: There is a kid friendly river side Italian coffee shop near Burger King named The Eagle with a 3 out of 5 rating and a moderate price rating.
[EX A]:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Burger King]