Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Models

arXiv:2403.11786v1 Announce Type: new
Abstract: Extracting hyper-relations is crucial for constructing comprehensive knowledge graphs, but there are limited supervised methods available for this task. To address this gap, we introduce a zero-shot prompt-based method using OpenAI's GPT-3.5 model for extracting hyper-relational knowledge from text. Comparing our model with a baseline, we achieved promising results, with a recall of 0.77. Although our precision is currently lower, a detailed analysis of the model outputs has uncovered potential pathways for future research in …

abstract arxiv construction cs.ai cs.cl gap gpt gpt-3 gpt-3.5 graphs knowledge knowledge graphs language language models large language large language models openai prompt relational relations text type zero-shot