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: A coffee shop in Riverside called The Golden Palace serves Indian food and  provides moderate pricing but has only a 1 out of 5 customer rating.
Example Output: [['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Indian'], ['The Golden Palace', 'customer rating', '1 out of 5'], ['The Golden Palace', 'area', 'riverside']]

Example Input: Near The Six Bells is a Fitzbillies, providing cheap Italian food.
Example Output: [['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'priceRange', 'cheap'], ['Fitzbillies', 'near', 'The Six Bells']]

Example Input: The winner of the Outstanding Rock / Pop Vocalist award at the Detroit Music Awards in 2009 was Vinnie Dombroski and in 2010 was Ty Stone
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Detroit Music Awards'], ['Outstanding Rock/Pop Vocalist', '2009', 'Vinnie Dombroski'], ['Outstanding Rock/Pop Vocalist', '2010', 'Ty Stone'], ['[TABLECONTEXT]', 'ROCK/POP/ALTERNATIVE', 'Outstanding Rock/Pop Vocalist']]