Twenty-four behavioral elements form the core of SemantiClean, a new framework for e-commerce intent inference. It trades marginal predictive gains for structural governance and reproducibility using the OSPI dataset. This modular approach replaces opaque end-to-end predictors with a transparent element library. Practitioners gain defensible decision trails at the cost of peak accuracy.