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:
Browns Cambridge near the Sorrento offers English food near riverside.

Ex Output:
[['Browns Cambridge', 'food', 'English'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'near', 'The Sorrento']]


Ex Input:
The Punter is a 5 star Japanese food and coffee shop located near Café Sicilia. It is not child-friendly and slightly more expensive other local places.

Ex Output:
[['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Japanese'], ['The Punter', 'priceRange', 'more than £30'], ['The Punter', 'customer rating', '5 out of 5'], ['The Punter', 'familyFriendly', 'no'], ['The Punter', 'near', 'Café Sicilia']]


Ex Input:
The United Nations was involved with Human Rights in Morocco.

Ex Output:

[['[TABLECONTEXT]', '[TITLE]', 'Human rights in Morocco'], ['Convention on the Non-Applicability of Statutory Limitations to War Crimes and Crimes Against Humanity', 'ORGANIZATION', 'United Nations'], ['[TABLECONTEXT]', 'TREATY', 'Convention on the Non-Applicability of Statutory Limitations to War Crimes and Crimes Against Humanity']]