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 Rice Boat is rated low, child friendly and priced high. It is located in the city center near Express by Holiday Inn and serves fast food.
Example Output: [['The Rice Boat', 'food', 'Fast food'], ['The Rice Boat', 'customer rating', '1 out of 5'], ['The Rice Boat', 'area', 'city centre'], ['The Rice Boat', 'familyFriendly', 'yes'], ['The Rice Boat', 'near', 'Express by Holiday Inn']]

Example Input: With a runway length of 4000.0 metres, Athens International Airport is located in Spata and serves the city of Athens.
Example Output: [['Athens International Airport', 'CITY_SERVED', 'Athens'], ['Athens International Airport', 'RUNWAY_LENGTH', '4000.0'], ['Athens International Airport', 'LOCATION', 'Spata']]

Example Input: Santa maria had 26839 people living in it in 2010.
Example Output:
[['Santa Maria', 'POPULATION_(2010)', '26839']]