This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.

Example Input: Strada is a restaurant near Rainbow Vegetarian Café that serves inexpensive Indian food. This restaurant is not family-friendly, and has received low ratings.
Example Output: [['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'Indian'], ['Strada', 'priceRange', 'less than £20'], ['Strada', 'customer rating', 'low'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: The Eagle is a coffee shop located  near Burger King in the city that provides Indian food.
Example Output: [['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Indian'], ['The Eagle', 'near', 'Burger King']]

Example Input: The 1st runway at Alderney Airport is made from Poaceae which belongs to the division of flowering plants and is of the class Monocotyledon.
Example Output:
[['Poaceae', 'DIVISION', 'Flowering plant'], ['Alderney Airport', '1ST_RUNWAY_SURFACE_TYPE', 'Poaceae'], ['Poaceae', 'CLASS', 'Monocotyledon']]