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:
American figher pilot William Anders was born in British Hong Kong on the 17th of October, 1933. He received a M.S. from his alma Mater, AFIT, in 1962. He retired on the 1st of September, 1969.

Ex Output:
[['William Anders', 'DATE_OF_RETIREMENT', '"1969-09-01"'], ['William Anders', 'NATIONALITY', 'United States'], ['William Anders', 'DATE_OF_BIRTH', '"1933-10-17"'], ['William Anders', 'OCCUPATION', 'Fighter pilot'], ['William Anders', 'BIRTH_PLACE', 'British Hong Kong'], ['William Anders', 'ALMA_MATER', '"AFIT, M.S. 1962"']]


Ex Input:
The trans 2 duration if the biking stage is covered within 58:20 is 0:29.

Ex Output:
[['1:52:04.93', 'BIKE_(40KM)', '58:20'], ['1:52:04.93', 'TRANS_2', '0:29']]


Ex Input:
There is a high end restaurant in riverside area called The Waterman. It is a kid friendly restaurant serving English food. Customer rating is average.

Ex Output:

[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'English'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]