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 # for the episode with a Production code of 3T7057 is 7.0.

Ex Output:
[['robbing hood', 'NUMBER', '7'], ['robbing hood', 'ORIGINAL_AIR_DATE', 'november26,2008'], ['robbing hood', 'DIRECTED_BY', 'paul shapiro'], ['robbing hood', 'NUMBER', '16'], ['robbing hood', 'PRODUCTION_CODE', '3t7057'], ['robbing hood', 'WRITTEN_BY', 'jim danger gray'], ['robbing hood', 'U.S._VIEWERS_(MILLION)', '4.45']]


Ex Input:
The Vaults is a three star, inexpensive pub near Café Adriatic.

Ex Output:
[['The Vaults', 'eatType', 'pub'], ['The Vaults', 'priceRange', 'cheap'], ['The Vaults', 'customer rating', '3 out of 5'], ['The Vaults', 'near', 'Café Adriatic']]


Ex Input:
Fast-food is available at Green Man on the riverside for over 30 pounds per person. Its a child friendly venue and you will find it near All Bar One.

Ex Output:

[['Green Man', 'priceRange', 'more than £30'], ['Green Man', 'area', 'riverside'], ['Green Man', 'familyFriendly', 'yes'], ['Green Man', 'near', 'All Bar One']]