The Andalusian Geographical Gazetteer is a toponymic geodatabase with over 245,000 geographical place names and more than 320,000 locations. In recent years, a study revealed that many isolated buildings in rural environments have experienced a degradation in their use. Specifically, cases were identified where buildings have become dilapidated due to abandonment, completely disappeared, or been demolished and replaced by new constructions, which may also have different names. This study focuses on a sample of 285 entities classified as Rural Buildings, either active or disappeared/in ruins in three municipalities. Alphanumeric files, two different aerial orthophotos imagery (including both the most current and historical images), and a cadastral dataset were used as input data. The methodology was developed within a GIS and Python environment, employing three different methodologies: two artificial intelligence-based methods (Large Language Model and pre-trained Deep Learning Models for Building Footprint Extraction) with images, and a GIS geoprocessing over the Spanish Cadastre. The temporal change of the buildings was classified and studied. The combined results of the three methodologies showed success rates exceeding 92.9%, reaching 100% in one of the three municipality. These figures encourage further exploration of this novel methodology, particularly the use of LLMs and the combined application of various methods to reduce false positives compared to individualized and manual techniques.