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 French restaurant near Rainbow Vegetarian Café. It has an average customer rating and is not family-friendly. Prices are less than 20 pounds.
Example Output: [['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'French'], ['Strada', 'priceRange', 'less than £20'], ['Strada', 'customer rating', 'average'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: The train destination when it has a calling at Boston, Sleaford, Nottingham Victoria was nottingham victoria.
Example Output: [['17.03', 'ARRIVAL', '18.46'], ['17.03', 'GOING_TO', 'Nottingham Victoria'], ['18.46', 'CALLING_AT', 'Boston, Sleaford, Nottingham Victoria']]

Example Input: 00110 is the Elias gamma coding of 6 = 2^2+2, whose implied probability is 1/32.
Example Output:
[['6 = 2^2 + 2', 'ENCODING', '00110'], ['[TABLECONTEXT]', '[TITLE]', 'Elias gamma coding'], ['[TABLECONTEXT]', '#', '6 = 2^2 + 2'], ['00110', 'IMPLIED_PROBABILITY', '1/32']]