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: In September, Burbank, California recorded .23(5.8) inches of precipitation, and 1.07(27.2) in November.
Example Output: [['Precipitation inches (mm)', 'SEP', '.23 (5.8)'], ['Precipitation inches (mm)', 'NOV', '1.07 (27.2)'], ['[TABLECONTEXT]', 'MONTH', 'Precipitation inches (mm)'], ['[TABLECONTEXT]', '[TITLE]', 'Burbank, California']]

Example Input: If you are looking for French food in riverside I would not suggest The Waterman.  They have low customer ratings.
Example Output: [['The Waterman', 'food', 'French'], ['The Waterman', 'customer rating', 'low'], ['The Waterman', 'area', 'riverside']]

Example Input: Located in the city centre, Fitzbillies is a coffee shop which serves fast food. It costs more than £30 but is highly rated.
Example Output:
[['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Fast food'], ['Fitzbillies', 'priceRange', 'more than £30'], ['Fitzbillies', 'customer rating', 'high'], ['Fitzbillies', 'area', 'city centre']]