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.

Input: Consider Input: In the city centre, near the Express by Holiday Inn, is a highly rated fast food restaurant called The Rice Boat. It is not children friendly and is in the higher price bracket of more than £30.

Output: name[The Rice Boat], food[Fast food], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: Fitzbillies, located in Express by Holiday Inn, isn't recommended due to the food being priced over £30, and the atmosphere not being child-friendly.

Output: name[Fitzbillies], priceRange[more than £30], customer rating[low], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: Highly rated and mid priced, Travellers Rest Beefeater is located in the city centre near Café Adriatic.


Output: name[Travellers Rest Beefeater], priceRange[£20-25], customer rating[high], area[city centre], near[Café Adriatic]