This article discusses the issues of Named Entity Recognition (NER) and their interpretation in the Uzbek language corpus. Based on the morphological and syntactic rules of Uzbek language grammar, a lexical database (in Uzbek) has been developed, and a rule-based system has been formulated for the automatic identification of Named Entities (NERs) within texts. The article classifies named entities (such as personal names, place names, organization names, etc.) for NER models based on the Uzbek language corpus and describes the methodology used for their interpretation. Additionally, the process of identifying NER entities is presented through specialized diagrams, and the entities themselves are illustrated in tables.