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: Rosberg continued to drive for Mercedes in the 2013 season, winning 2 out of 19 races and scoring 171 points.

Output: [['Formula One', 'POINTS', '171'], ['2013', 'TEAM', 'Mercedes AMG Petronas F1 Team'], ['19', 'WINS', '2'], ['Formula One', 'RACES', '19'], ['2013', 'SERIES', 'Formula One'], ['[TABLECONTEXT]', '[TITLE]', 'Nico Rosberg'], ['[TABLECONTEXT]', 'SEASON', '2013']]


Input: Consider Input: Yelena Koshcheyeva competed in the Olympic Games in 2004.

Output: [['[TABLECONTEXT]', '[TITLE]', 'Yelena Koshcheyeva'], ['[TABLECONTEXT]', 'YEAR', '2004'], ['2004', 'COMPETITION', 'Olympic Games']]


Input: Consider Input: There is a coffee shop located near The Portland Arms in the city centre called Cotto which offers good quality food at a premium price.


Output: [['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'customer rating', '3 out of 5'], ['Cotto', 'area', 'city centre'], ['Cotto', 'near', 'The Portland Arms']]