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 is very expensive and is located near the city centre.
Example Output: [['The Waterman', 'priceRange', 'more than £30'], ['The Waterman', 'area', 'city centre']]

Example Input: It is not a family-friendly place, but Alimentum, in City centre,  has English food with low pricing.
Example Output: [['Alimentum', 'food', 'English'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'familyFriendly', 'no']]

Example Input: The former aircraft of the Philippine Air Force includes the Lockheed T-33 shooting star from the United States which was a trainer aircraft. It was later replaced by the S-211.
Example Output:
[['[TABLECONTEXT]', 'MODEL', 'Lockheed T-33 Shooting Star'], ['Lockheed T-33 Shooting Star', 'TYPE', 'Trainer aircraft'], ['Lockheed T-33 Shooting Star', 'ORIGIN', 'United States'], ['[TABLECONTEXT]', '[TITLE]', 'List of former aircraft of the Philippine Air Force'], ['Lockheed T-33 Shooting Star', 'NOTES', 'Replaced by the S-211']]