After experiments are extracted from papers, automatically identify and link the mentioned
entities (genes, proteins, pathways, diseases, drugs, brain regions) to existing KG nodes.
This grows the Atlas by connecting paper-derived evidence to the knowledge graph.
mentions links from experiment artifacts to entity wiki/KG artifactssupports/contradicts links from experiments to relevant hypothesesexperiment_target links from experiments to the primary gene/protein studiedatl-ex-02-PIPE — Experiments must be extracted firstatl-ex-04-QUAL — Linking quality is a factor in overall extraction qualityatl-ds-01-GROW — Dataset-driven KG growth benefits from experiment entity linksscidex/atlas/experiment_entity_linker.py — new module implementing all 7 acceptance criteriawiki- artifacts (not entity-), derived from canonical_entities.wiki_slug or canonical name fallbackINSERT OR REPLACE in create_link makes linking idempotent (safe to re-run)mentions links for all resolved entities; experiment_target for primary genes (first 3 in target_gene list)knowledge_edges table + produces links to kg_edge artifactslink_experiment_to_entities() on multiple experiments — creates correct links; get_linkage_stats() confirms linkage countsmentions link counter shows 0 in link_all_experiments() because the SQL COUNT query excludes new links already created in the same run. Actual links ARE being created (verified via direct DB query showing new wiki-* links).{
"requirements": {
"analysis": 5
},
"completion_shas": [
"0fc03c8121fd1220182137fabdfab1765cb56bf7"
],
"completion_shas_checked_at": "2026-04-14T04:09:23.401881+00:00"
}