Knowledge Graph Entity Linking via Interactive Reasoning and Exploration with GRASP

Entity linking is the task of linking mentions of entities from a given knowledge graph in a given text. We present a new approach for entity linking built on GRASP, a zero-shot method originally developed for translating natural-language questions to SPARQL queries for a given knowledge graph. We evaluate our approach on the cell entity annotation task of the MammoTab track of the SemTab 2025 challenge, with good results, ranking first among all participants.