G.A. Galimov1, O.A. Nevzorova2

1, 2 Kazan Federal University (Kazan, Russia)

1 zxlx@mail.ru, 2 onevzoro@gmail.com

Statement of the problem. Automatic interpretation of spatial descriptions is hindered by the ambiguity of spatial expressions and the lack of a formalized multi-step reasoning structure in LLM-based approaches.

Target. The aim of this study is to develop a formalized model of hierarchical spatial reasoning based on spatial operator composition.

Results. A model of sequential application of formally defined localization operators is proposed, enabling query interpretation to be represented as a computational process with an explicit structure. A classification of typical spatial grounding errors is introduced, and the advantages of explicit reasoning representation over implicit agent-based strategies are demonstrated.

Practical significance. The approach is applicable to geographic information systems and intelligent navigation systems.

Galimov G.A., Nevzorova O.A. An approach to automatic interpretation of spatial descriptions based on large language models. Highly Available Systems. 2026. V. 22. № 1. P. 25−28. DOI: https://doi.org/10.18127/j20729472-202601-05 (in Russian)

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