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: The Waterman offers a higher-priced menu of English food in a child-friendly riverside setting. It was rated average by customers.
Example Output: [['The Waterman', 'food', 'English'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: On 23 May 1940, the Sigurd Faulbaum was sunk by U-9.
Example Output: [['[TABLECONTEXT]', '[TITLE]', 'German submarine U-9 (1935)'], ['Sigurd Faulbaum', 'FATE', 'Sunk'], ['Sunk', 'DATE', '23 May 1940'], ['[TABLECONTEXT]', 'NAME', 'Sigurd Faulbaum']]

Example Input: Near Café Rouge, Midsummer House serves Indian food and has a customer rating of 1 out of 5.
Example Output:
[['Midsummer House', 'food', 'Indian'], ['Midsummer House', 'customer rating', '1 out of 5'], ['Midsummer House', 'near', 'Café Rouge']]

