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:
Najeh Davenport had 105 yards, two touchdowns, nine first downs, and a single fumble in 2005.

Ex Output:
[['2005', 'YARDS', '105'], ['[TABLECONTEXT]', '[TITLE]', 'Najeh Davenport'], ['[TABLECONTEXT]', 'YEAR', '2005'], ['2005', 'FUMBLES', '1'], ['2005', 'TOUCHDOWNS', '2'], ['2005', 'FIRST_DOWNS', '9']]


Ex Input:
There are 3906 people in Glengallan in 1966

Ex Output:
[['1966', 'POPULATION_(REGION_TOTAL)', '25917'], ['25917', 'POPULATION_(GLENGALLAN)', '3906']]


Ex Input:
Located near Ranch, Wildwood is a Japanese coffee shop rated 5 out of 5. Prices are typically more than £30.

Ex Output:

[['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'Japanese'], ['Wildwood', 'priceRange', 'more than £30'], ['Wildwood', 'customer rating', '5 out of 5'], ['Wildwood', 'near', 'Ranch']]