I think triplets are neat, so I created this open source port of OpenIE in Python, with GPU acceleration using spaCy. It GPU-accelerates the natural-logic forward-entailment search itself (via batched reparsing) rather than replacing it with a trained neural model. Surprisingly this often yields more triplets than standard OpenIE while maintaining good semantics.The outputs aren’t 1:1 to CoreNLP, for various reasons, one of which being my focus on retaining as much of semantic context as possible for applications such as GraphRAG, enhancing embedded queries, scientific knowledge graphs, etc