Abstract
In this paper, we present our solution to the TextGraphs-17 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering (KGQA).GPT-4 alone, with chain-of-thought reasoning and a given set of answers, achieves an F1 score of 0.78.By employing subgraph size as a feature, Wikidata answer description as an additional context, and a question rephrasing technique, we further strengthen this result.These tricks help to answer questions that were not initially answered and to eliminate irrelevant, identical answers.We have managed to achieve an F1 score of 0.83 and took 2nd place, improving the score by 0.05 over the baseline.An open implementation of our method is available on GitHub. 1