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.

Example Input: 130368 people used Hale in 2008-9.
Example Output: [['Hale (HAL)', 'STATION_USERS_2008/9', '130368']]

Example Input: Strada is and Indian restaurant near the Rainbow Vegetarian Café with a moderate price range. It has a customer rating of 1 out of 5 and if kid friendly.
Example Output: [['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'Indian'], ['Strada', 'priceRange', 'moderate'], ['Strada', 'customer rating', '1 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: Arem-arem is a dish of Javanese cuisine found in Indonesia. Jusuf Kalla is the leader of Indonesia where Indonesian is spoken.
Example Output:
[['Arem-arem', 'COUNTRY', 'Indonesia'], ['Indonesia', 'LEADER_NAME', 'Jusuf Kalla'], ['Arem-arem', 'REGION', 'Javanese cuisine'], ['Indonesia', 'LANGUAGE', 'Indonesian language']]