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 provides Indian food. It is near Crowne Plaza Hotel.
Example Output: [['The Waterman', 'food', 'Indian'], ['The Waterman', 'near', 'Crowne Plaza Hotel']]

Example Input: With a high price range and low customer service rating of 1 out of 5, a family-friendly Italian coffee shop named The Eagle has opened in the city centre near Burger King.
Example Output: [['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Italian'], ['The Eagle', 'priceRange', 'high'], ['The Eagle', 'customer rating', '1 out of 5'], ['The Eagle', 'area', 'city centre'], ['The Eagle', 'familyFriendly', 'yes'], ['The Eagle', 'near', 'Burger King']]

Example Input: Johnny Loftus won 1919 Triple Crown riding the horse trained by H.Guy Bedwell.
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Triple Crown of Thoroughbred Racing'], ['Sir Barton', 'JOCKEY', 'Johnny Loftus'], ['Sir Barton', 'TRAINER', 'H. Guy Bedwell'], ['[TABLECONTEXT]', 'YEAR', '1919'], ['1919', 'WINNER', 'Sir Barton']]