TableBs

TableBs is a term used in data modeling to refer to a set of related tabular structures that store binary relationships between two domains, typically referred to as A and B. They are used to organize and query pairwise associations in relational databases, knowledge graphs, and analytical pipelines.

A TableB usually consists of rows that represent specific A–B pairs and may include metadata fields such as weight, timestamp, provenance, or confidence. Common core columns are A_id and B_id; additional columns provide attributes describing the relationship.

In practice, multiple TableBs may exist within a system to separate different B-types or contexts. For example, in a biomedical knowledge base, one TableB might capture gene–disease associations while another captures drug–target interactions. TableBs can be joined on the B_id or A_id to form richer queries or graphs.

Origin and usage: The term often appears in documentation where the base table is TableA, and subsequent related tables are named TableB, TableC, etc. Collectively, they are referred to as TableBs in the literature or data workflows.

See also: TableA, TableC, relational database, binary relation, data model.