Open information extraction using the Stanford parser - using the StanfordCoreNLP wrapper.
INPUT: "John drove his new car but he crashed it."
OUTPUT:
| Subject | Relation | Object |
|---|---|---|
| John | drove | car |
| John_he | crashed | his_new_car_it |
Note that coreferences have been included forming the concept node 'his_new_car_it' as multiple words refer to the same concept. Predicates are in the form of (Subject Relation Object) triples and these combine to form a document knowledge graph. Nodes store noun-based information while edges typically hold verb labels. The output generally forms a directed graph with multi edges, including some self loops.