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.

Ex Input:
The Olive Grove is a non-child friendly, high priced pub that serves Indian food in the riverside area.

Ex Output:
[['The Olive Grove', 'eatType', 'pub'], ['The Olive Grove', 'food', 'Indian'], ['The Olive Grove', 'priceRange', 'high'], ['The Olive Grove', 'area', 'riverside'], ['The Olive Grove', 'familyFriendly', 'no']]


Ex Input:
Driver Joie Chitwood drove car #17, built by Kurtis Kraft-Offenhauser, in the 1950 Indianapolis 500 to position nine.

Ex Output:
[['Joie Chitwood', 'POSITION', '9'], ['Joie Chitwood', 'CONSTRUCTOR', 'Kurtis Kraft-Offenhauser'], ['[TABLECONTEXT]', 'DRIVERS', 'Joie Chitwood'], ['Joie Chitwood', 'NUMBER', '17'], ['[TABLECONTEXT]', '[TITLE]', '1950 Indianapolis 500']]


Ex Input:
The Adolfo Suarez Madrid- Barajas airport is located in San Sebastian de los Reyes which is in Madrid, Spain.

Ex Output:

[['San Sebastián de los Reyes', 'IS_PART_OF', 'Community of Madrid'], ['Adolfo Suárez Madrid–Barajas Airport', 'LOCATION', 'San Sebastián de los Reyes'], ['San Sebastián de los Reyes', 'COUNTRY', 'Spain']]