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arXiv · 2512.00329

Evidence-Guided Schema Normalization for Temporal Tabular Reasoning

Ashish Thanga·Vibhu Dixit·Abhilash Shankarampeta·Vivek Gupta
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Abstract

Temporal reasoning over evolving semi-structured tables poses a challenge to current QA systems. We propose a SQL-based approach that involves (1) generating a 3NF schema from Wikipedia infoboxes, (2) generating SQL queries, and (3) query execution. Our central finding challenges model scaling assumptions: the quality of schema design has a greater impact on QA precision than model capacity. We establish three evidence-based principles: normalization that preserves context, semantic naming that reduces ambiguity, and consistent temporal anchoring. Our best configuration (Gemini 2.5 Flash schema + Gemini-2.0-Flash queries) achieves 80.39 EM, a 16.8\% improvement over the baseline (68.89 EM).

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Ashish Thanga, Vibhu Dixit, Abhilash Shankarampeta, Vivek Gupta. 2025-11-29. Evidence-Guided Schema Normalization for Temporal Tabular Reasoning. https://arxiv.org/abs/2512.00329

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