feat: add ontology material ingestion

.planning/STATE.md

@@ -7,7 +7,7 @@ See: `.planning/PROJECT.md` (updated 2026-04-26)
 **Core value:** The user should feel and prove that they are becoming more
 interview-ready after each short practice loop.
 
-**Current focus:** Phase 5 planning: Ontology and Learning Materials.
+**Current focus:** Phase 6 planning: Teaching Assets.
 
 ## Current Decisions
 
@@ -29,14 +29,16 @@ interview-ready after each short practice loop.
   schedules.
 - Phase 4 progression is implemented and verified with readiness map and next
   challenge APIs derived from learner memory evidence.
+- Phase 5 ontology material ingestion is implemented and verified with
+  source-backed candidate concepts, prerequisite edges, and candidate gaps.
 
 ## Next Actions
 
-1. Plan Phase 5 ontology and learning material ingestion with GSD.
+1. Plan Phase 6 teaching asset prompt generation with GSD.
 2. Keep `docs/planning/WORKFLOW_CONTRACTS.md` aligned with Go structs during
    future workflow implementation.
-3. Decide the MVP ontology storage boundary before accepting uploaded source
-   materials.
+3. Verify the production OpenAI image model identifier before real asset
+   generation calls.
 
 ## Validation Log
 
@@ -56,6 +58,9 @@ interview-ready after each short practice loop.
 - 2026-04-26: Phase 4 implementation verified with `go test ./...`,
   `openspec validate bootstrap-job-tutor-platform --strict`, live readiness and
   next-challenge smoke, and Go source line-count check.
+- 2026-04-26: Phase 5 implementation verified with `go test ./...`,
+  `openspec validate bootstrap-job-tutor-platform --strict`, live material
+  ingestion and ontology snapshot smoke, and Go source line-count check.
 
 ---
 *State initialized: 2026-04-26.*