An Australian council's minutes, committee papers, contracts registers and tender notices (2015-2026), plus seven US federal references, extracted to text and indexed as a graph database in ordinary Postgres. The counts above are live from the database, and they are the corpus. Entities are people, organisations, checksum-validated ABNs, and citations. Edges are co-occurrence within a 400-character window, dated by their document, so every query has an as-at form. Traversal is a recursive CTE, shortest path and components are pgrouting, and the whole read surface is PostgREST over one edge table.
| slug | genre | source | text | ratio | entities | mentions |
|---|
The ratio is not a constant. A positioned form yields 0.048; dense regulation yields 1.089, because a PDF already compresses its own content streams. Source size does not predict database size.
| kind | label | docs | mentions | found in |
|---|
The discovery surface for a first-time user: entities that bridge documents are the natural entry point. Bridging is corpus-shaped: 20 of the 1521 US citation entities span documents, against sitting councillors who span 86-93 of the 103 council documents.
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| kind | label | mentions | docs | score | |
|---|---|---|---|---|---|
| NO MATCH | |||||
| size | largest members |
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The corpus separates into topical clusters on its own: security controls in one component, statutes and public laws in another, securities regulation in a third.
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