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: Fitzbillies is a child friendly Italian coffee shop in the city centre - just don't forget your wallet.
Example Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'yes']]

Example Input: The short name for the swara Shadja is Sa.
Example Output: [['Shadja', 'SHORT_NAME', 'Sa']]

Example Input: Jack Milne took the title of the 1937 Individual Speedway World Championship with a total of 28 points.
Example Output:
[['[TABLECONTEXT]', 'RIDER', 'Jack Milne'], ['Jack Milne', 'TOTAL_POINTS', '28'], ['Jack Milne', 'POSITION', '1'], ['[TABLECONTEXT]', '[TITLE]', '1937 Individual Speedway World Championship']]