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: There are 3906 people in Glengallan in 1966
Example Output: [['1966', 'POPULATION_(REGION_TOTAL)', '25917'], ['25917', 'POPULATION_(GLENGALLAN)', '3906']]

Example Input: Fitzbillies is a city centre Indian coffee shop with average prices between £20-£25. It is both child friendly, and has high customer satisfaction.
Example Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Indian'], ['Fitzbillies', 'priceRange', '£20-25'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'yes']]

Example Input: On September 18,  Dallas Cowboys won at at Minnesota Vikings with an attendance 47,678
Example Output:
[['September 18', 'ATTENDANCE', '47,678'], ['September 18', 'OPPONENT', 'at Minnesota Vikings'], ['1', 'DATE', 'September 18'], ['September 18', 'RESULT', 'Win'], ['[TABLECONTEXT]', '[TITLE]', '1977 Dallas Cowboys season'], ['[TABLECONTEXT]', 'WEEK', '1']]