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 the centre of the city, there is a restaurant called The Waterman.  It is a highly recommended, yet inexpensive, restaurant for families.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'priceRange', 'cheap'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: The earning of Mario Ančić is US$ 101,122 in year 2002
Example Output: [['[TABLECONTEXT]', 'YEAR', '2002'], ['2002', 'EARNINGS_(US$)', '101,122'], ['[TABLECONTEXT]', '[TITLE]', 'Mario Ančić']]

Example Input: Adisham Hall is located in Haputale, Sri Lanka, a country where Tamil is the language and one of the leaders is Ranil Wickremesinghe.
Example Output:
[['Adisham Hall', 'COUNTRY', 'Sri Lanka'], ['Adisham Hall', 'LOCATION', '"Haputale, Sri Lanka"'], ['Sri Lanka', 'LEADER_NAME', 'Ranil Wickremesinghe'], ['Sri Lanka', 'LANGUAGE', 'Tamil language']]