TASK DEFINITION: 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.
PROBLEM: A moderate priced restaurant, Giraffe, is near The Six Bells.

SOLUTION: name[Giraffe], eatType[restaurant], priceRange[moderate], near[The Six Bells]

PROBLEM: For luxurious French food, the Loch Fyne is located by the river next to The Rice Boat.

SOLUTION: name[Loch Fyne], food[French], customer rating[high], area[riverside], near[The Rice Boat]

PROBLEM: Although The Vaults, a coffee shop,  near Café Brazil boasts an average customer rating, the price is high in this riverside area.

SOLUTION:
name[The Vaults], eatType[coffee shop], priceRange[high], customer rating[average], area[riverside], near[Café Brazil]