15. A computer-implemented method as in claim 14 , further comprising instructions for: establishing a threshold probability value based on probable accuracy retrieved from said decision support tool; said step of extracting said at least one triplet from said extracted textual clause by attempting to match said extracted textual clause to said first level, including: tagging said extracted textual clause with a first probability value based on said accurate interaction between said extracted first and second textual entities and said extracted interaction word within said first level; classifying said at least one triplet as true as a result of said first probability value meeting said threshold probability value, and classifying said at least one triplet as false as a result of said first probability value failing to meet said threshold probability value; said step of extracting said at least one triplet from said extracted textual clause by attempting to match said extracted textual clause to said second level, including: tagging said extracted textual clause with a second probability value based on said accurate interaction between said extracted first and second textual entities and said extracted interaction word within said level; classifying said at least one triplet as true as a result of said second probability value meeting said threshold probability value, and classifying said at least one triplet as false as a result of said second probability value failing to meet said threshold probability value.
15. A computer-implemented method as in claim 14 , further comprising instructions for: establishing a threshold probability value based on probable accuracy retrieved from said decision support tool; said step of extracting said at least one triplet from said extracted textual clause by attempting to match said extracted textual clause to said first level, including: tagging said extracted textual clause with a first probability value based on said accurate interaction between said extracted first and second textual entities and said extracted interaction word within said first level; classifying said at least one triplet as true as a result of said first probability value meeting said threshold probability value, and classifying said at least one triplet as false as a result of said first probability value failing to meet said threshold probability value; said step of extracting said at least one triplet from said extracted textual clause by attempting to match said extracted textual clause to said second level, including: tagging said extracted textual clause with a second probability value based on said accurate interaction between said extracted first and second textual entities and said extracted interaction word within said level; classifying said at least one triplet as true as a result of said second probability value meeting said threshold probability value, and classifying said at least one triplet as false as a result of said second probability value failing to meet said threshold probability value. 16. A computer-implemented method as in claim 15 , further comprising instructions for: the step of classifying said at least one triplet performed using pattern matching.