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.

Input: Consider Input: The earning of Mario Ančić is US$ 101,122 in year 2002

Output: [['[TABLECONTEXT]', 'YEAR', '2002'], ['2002', 'EARNINGS_(US$)', '101,122'], ['[TABLECONTEXT]', '[TITLE]', 'Mario Ančić']]


Input: Consider Input: Strada It is not for the whole family, rated 1 star, their prices are cheap, It is next to Rainbow Vegetarian Café

Output: [['Strada', 'priceRange', 'less than £20'], ['Strada', 'customer rating', 'low'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


Input: Consider Input: There is a cheap restaurant with a customer rating of 5 out of 5 in city centre near Avalon named Blue Spice coffee shop which also a family-friendly


Output: [['Blue Spice', 'eatType', 'restaurant'], ['Blue Spice', 'priceRange', 'cheap'], ['Blue Spice', 'customer rating', '5 out of 5'], ['Blue Spice', 'area', 'city centre'], ['Blue Spice', 'familyFriendly', 'yes'], ['Blue Spice', 'near', 'Avalon']]