Material suplementario de «Itinerarios semánticos multilingües en ESMAS-ES+: del diseño digital a la justicia semántica. Estudio de caso sobre el léxico cultural del paisaje marítimo atlántico gallego»

This dataset contains the supplementary material associated with the communication “Itinerarios semánticos multilingües en ESMAS-ES+: del diseño digital a la justicia semántica. Estudio de caso sobre el léxico cultural del paisaje marítimo atlántico gallego”, presented at the XI Congreso Internacional de Lexicografía Hispánica: Tres siglos del Diccionario de Autoridades, Universidad de Cádiz, 3–5 June 2026. The dataset documents a pilot analysis of the Galician lexical unit batea within a Galician-Italian lexicographic workflow. It includes the exact prompt used for the consultation, the JSON outputs generated by five large language models (ChatGPT, Gemini, Claude, DeepSeek and Qwen), a synthetic results table in CSV and Markdown formats, a qualitative analysis note, a codebook and a file manifest. The consultation was designed as a zero-shot, single-turn, domain-framed prompting strategy with structured JSON output. The purpose was not to compare or rank model performance, but to collect convergences and divergences useful for human lexicographic post-editing. The model outputs are therefore treated as exploratory material, not as automatically validated lexicographic data. The dataset supports transparency, traceability and reuse of the methodological procedure. It is intended to document how generative AI outputs can assist, but not replace, expert lexicographic decision-making in the representation of culturally situated lexical units.