Kurt Cagle just shared his experience of using an LLM tool for building a knowledge graph. He asked DeepSeek to “Generate a list of all of the object types that may be relevant to running a pizza shop” and after some prompts received a quite comprehensive ontology. He concluded: “After a few years of working with both LLMs and KGs, I’m still not convinced that an LLM can act as a broad-scale knowledge graph out of the box (there are still some big unresolved issues about the limitation of latent spaces and the mapping of narrative to conceptual models, for instance). However, as a tool for building knowledge graphs, an LLM can dramatically reduce both the complexity of constructing a knowledge graph and make it easier to test and visualize what that knowledge graph is capable of.” Link
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