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: Aberdeen F.C. on match day 3 had a score of 1-1.
Example Output: [['[TABLECONTEXT]', 'MATCH_DAY', '3'], ['3', 'SCORE', '1-1'], ['[TABLECONTEXT]', '[TITLE]', '1914-15 Aberdeen F.C. season']]

Example Input: Serving the city of Abilene in Texas, Abilene Regional Airport is 546 metres above sea level and has a runway length of 1,121 metres.
Example Output:
[['Abilene Regional Airport', 'CITY_SERVED', 'Abilene, Texas'], ['Abilene Regional Airport', 'ELEVATION', '546'], ['Abilene Regional Airport', 'RUNWAY_LENGTH', '1121.0']]