Extending FKG.in: Towards a Food Claim Traceability Network
Saransh Kumar Gupta, Rizwan Gulzar Mir, Lipika Dey, Partha Pratim Das, Anirban Sen, Ramesh Jain

TL;DR
This paper introduces a Food Claim-Traceability Network (FCN) built on an extended Indian food knowledge graph, using semi-automated workflows and large language models to improve traceability, verification, and transparency of food claims.
Contribution
It extends the FKG.in knowledge graph with a new FCN module, integrating claim extraction, validation, and provenance tracking, adaptable to various contexts.
Findings
Developed a proof of concept using Reddit data and LLMs
Created a semi-automated knowledge curation workflow
Enhanced traceability and validation of food claims
Abstract
The global food landscape is rife with scientific, cultural, and commercial claims about what foods are, what they do, what they should not do, or should not do. These range from rigorously studied health benefits (probiotics improve gut health) and misrepresentations (soaked almonds make one smarter) to vague promises (superfoods boost immunity) and culturally rooted beliefs (cold foods cause coughs). Despite their widespread influence, the infrastructure for tracing, verifying, and contextualizing these claims remains fragmented and underdeveloped. In this paper, we propose a Food Claim-Traceability Network (FCN) as an extension of FKG[.]in, a knowledge graph of Indian food that we have been incrementally building. We also present the ontology design and the semi-automated knowledge curation workflow that we used to develop a proof of concept of FKG[.]in-FCN using Reddit data and…
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