arXiv:2611.13516v1 Announce Type: new Abstract: In the Open Radio Access Network (Open RAN), independent RAN control applications (xApps) may request changes to the same radio parameter to optimize their own KPIs, causing conflicts. When conflicts are detected via key performance indicator (KPI) degradation, current conflict management systems usually resolve them immediately, without considering how long the degradation lasts or whether the network might recover naturally, wasting radio unit (RU) energy on interventions that may not have been needed. This paper presents a confidence-aware triage layer that assesses the reliability of its predictions by calibrating intervals from past prediction errors. It also decides, for each conflict, whether to tolerate, defer, or mitigate it based on the degraded KPI prediction confidence and persistence of the conflict. It is evaluated on a common conflict between two Open RAN xApps: coverage and capacity optimization (CCO) and energy saving (ES), which issue opposing requests for transmit power and affect reference signal received power (RSRP). The triage layer is validated in a closed-loop ns3-oran simulation with 5G-LENA. Results show that the method reduces unnecessary interventions by 30% and maintains RU energy efficiency relative to fixed priority while improving it by 2.6% over the no-mitigation baseline, while maintaining a statistical safety guarantee for RSRP.