Unblock objective Belgian training loop

docs/BELGIUM_BUILDING_TRAINING_LOOP.md

@@ -92,8 +92,11 @@ recall are repeated, while true negative train tiles are repeated when a
 regional precision gate or the pure-background gate fails. Calibration, test,
 background-test and validation AOIs are excluded by their frozen corpus split;
 the generated evidence records that no protected sample entered training.
-The orchestrator refuses to start unless the frozen dataset audit is `ok` and
-contains zero blank/low-variance positive tiles.
+The orchestrator refuses to start unless every automated frozen-dataset gate
+passes and the corpus contains zero blank/low-variance positive tiles. The
+audit status may remain `needs_human_review` while training and objective
+evaluation continue: final human sign-off is deliberately the last gate and
+can never be interpreted as model promotion approval in advance.
 For dated imagery, GRB `BEGINDATUM` and PICC `DATE_CREAT` are compared with the
 end of the imagery period. A feature created afterward is retained in the
 audit but excluded from training as `created_after_imagery_period`. UrbIS does