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: Jan Kudličk got 8th position wtih 5.15 m in 2009 European U23 Championships at Kaunas, Lithuania
Example Output: [['European U23 Championships', 'POSITION', '8th'], ['European U23 Championships', 'NOTES', '5.15 m'], ['[TABLECONTEXT]', 'COMPETITION', 'European U23 Championships'], ['European U23 Championships', 'YEAR', '2009'], ['[TABLECONTEXT]', '[TITLE]', 'Jan Kudlička'], ['European U23 Championships', 'VENUE', 'Kaunas, Lithuania']]

Example Input: High assists belonging to Carmelo Anthony (11) have a record of 33–16.
Example Output: [['49', 'HIGH_ASSISTS', 'carmelo anthony (11)'], ['49', 'RECORD', '33-16']]

Example Input: There is a restaurant called Fitzbillies that serves moderately priced coffee and Indian food. It is family friendly and located in Riverside.
Example Output:
[['Fitzbillies', 'eatType', 'restaurant'], ['Fitzbillies', 'food', 'Indian'], ['Fitzbillies', 'priceRange', 'moderate'], ['Fitzbillies', 'area', 'riverside'], ['Fitzbillies', 'familyFriendly', 'yes']]