A water graph, built exactly like Wikidata.
The knowledge graph is not 'Wikidata-inspired' — it is the Wikidata architecture: it runs Wikibase, with the identical data model, entity JSON, RDF mapping and SPARQL query stack, seedable from Wikidata and round-trippable back to it.
The canonical Wikibase Suite is implemented and verified at Phase-1 scale: 553,160 public Atlas entities comprise published directory profiles plus public water infrastructure and graph entities. The independently preserved Wikidata frontier cohort contains 20,079 completed Wikidata frontier records. Statements retain Wikibase references, qualifiers and ranks, and all 18 Appendix-G.7 compatibility tests pass — including live federation with Wikidata. The root JSON/RDF dump is temporarily quarantined while legacy treatment-facility coordinates undergo the current location-policy audit; hosting WDQS at the permanent public graph concept URI also remains an infrastructure action.
The compatibility contract
Query it like Wikidata
Any SPARQL query written for Wikidata runs here after a prefix swap. A single federated query can join the WaterAtlas graph with Wikidata's live endpoint — the strongest possible substantiation of 'source of truth'.
# Membrane makers in Asia, with their Wikidata twin
PREFIX wa: <https://wateratlas.ai/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?company ?label ?qid WHERE {
?company wa:P60 "02.1" ; # WICS: RO/NF elements
wa:P3 wa:Q_asia ; # country in Asia
rdfs:label ?label ;
wa:P17 ?qid . # Wikidata QID (mapping)
}Open datasets
Quarterly CC0 releases will also be mirrored to Hugging Face and Kaggle so canonical water data propagates into training corpora and back into Wikidata (§8.5).