Abstract: Systems and methods for entity classification via an artificial intelligence model using a defined taxonomy framework are described. Entity classification includes generating a first query for a classification model, the first query including a first set of options for classification of an entity at a first classification granularity level of a taxonomy framework, providing the first query comprising the first set of options for classification to the classification model, receiving, from the classification model, a selection of one or more options of the first set of options for classification, and determining a classification of the entity based at least in part on the selection of the one or more options of the first set of options.

Abstract: Systems and methods for entity classification via an artificial intelligence model using a defined taxonomy framework are described. Entity classification includes identifying information associated with a entity, generating, by a processing device, a first query comprising the information associated with the entity and a first set of options for classification of the entity at a first level of classification granularity of a taxonomy framework, and providing the first query to a classification model. The method further includes receiving, from the classification model, a selection of a first option of the first set of options for classification and determining a classification of the entity based at least in part on the selection of the first option of the first set of options.