think-temporal

Temporal relationship analysis identifies and structures event order, duration, and causation by applying a formal model with timelines and interval relations. It returns a structured representation of causes, enables, and precedes relations suitable for downstream reasoning.

Incident timeline analysis structures multiple events with timestamps, durations, and uncertainty by enforcing temporal constraints and Allen relations. This captures event sequencing and causal connections, returning a structured representation for process tracing and incident evaluation.

Yes, temporal reasoning evaluates historical precedents, source reliability, and patterns across episodes by establishing event sequences and interval relations. It applies formal temporal constraints to handle multiple events, enabling structured historical comparison and process tracing.

Temporal reasoning handles uncertainty by applying a formal model that includes timelines, events with attributes, and temporal constraints. It structures interval relations like precedes and enables even when processing multiple events with uncertain durations and incomplete timestamps.

Modeling causal connections in event sequencing uses a formal temporal model to define relations such as causes, enables, and precedes. It structures events with attributes and temporal constraints, returning a representation suitable for downstream reasoning and historical evaluation.