Spectrometric results indicate that GPT-5 was able to determine the organic structure of quinoline most convincingly with a score of 5/5, based on its ability to extract information from each spectrum using document retrieval and thoroughly explain decision processes. The ability for artificial intelligence to accurately interpret 1H chemical shifts associated with the "pyridine-like nitrogen", 13C-NMR spectrum "sp2-hybridized carbons in an aromatic ring", and DEPT-135 spectrum based on "the absence of down-facing signals indicates no CH2 groups" indicates high proficiency in processing spectral information from an advanced WebSpectra problem from Figure . Hallucinations observed were primarily Fact-conflicting, in that correct organic structures were obtained by models, but some content based on each piece of information misaligned with established knowledge from the field of spectrometric identification.