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In this paper, we propose a hybrid and decomposed approach to automatically generate executable process and data models from text using LLMs. Our method modularizes the task: the LLM clarifies and enriches the description, then extracts both process and data elements, which are combined into a unified model. Structured algorithms ensure robust and executable outputs. Evaluation results demonstrate that our approach improves model completeness, clarity, and efficiency compared to existing methods.<\/jats:p>","DOI":"10.1142\/s0218843026500024","type":"journal-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:31:06Z","timestamp":1772775066000},"source":"Crossref","is-referenced-by-count":0,"title":["A Decomposed Hybrid Approach to Business Process and Data Modeling with LLMs"],"prefix":"10.1142","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0956-8108","authenticated-orcid":false,"given":"Ali Nour","family":"Eldin","sequence":"first","affiliation":[{"name":"Telecom SudParis, Institut Polytechnique de Paris, 9 Rue Charles Fourier, 91011 \u00c9vry-Courcouronnes, France"},{"name":"Bonitasoft, 32 Rue Gustave Eiffel, 38000 Grenoble, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6386-5226","authenticated-orcid":false,"given":"Benjamin","family":"Dalmas","sequence":"additional","affiliation":[{"name":"Bonitasoft, 32 Rue Gustave Eiffel, 38000 Grenoble, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0451-532X","authenticated-orcid":false,"given":"Walid","family":"Gaaloul","sequence":"additional","affiliation":[{"name":"Telecom SudParis, Institut Polytechnique de Paris, 9 Rue Charles Fourier, 91011 \u00c9vry-Courcouronnes, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2026,3,26]]},"reference":[{"key":"S0218843026500024BIB001","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49851-4"},{"key":"S0218843026500024BIB002","unstructured":"P. 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