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The Semaphore Fact Extraction Framework (FACTS)

Sequenced Contexts

  • Last Updated: May 13, 2026
  • 1 minute read
    • Semaphore
    • Documentation

This is an abstract Concept Class (no concept can be made an instance of it in the model).

It represents all Sequenced Contexts.

Sequenced Contexts are extractors that look for facts (and anchors) that appear in the content in a specific order.

To define Sequenced Contexts’ elements a combination of anchors, facts, and skips can be used.

The sequences can be made loose, in the sense that the elements so defined do not necessarily need to be found in consecutive contexts, but can also be found in the same zone. For example, if it was a sequence of sentences, it is not the case that each element would have to be found in consecutive sentences, but could be found in either the same sentence or a mixture of consecutive sentences.

To define a loose sequenced extractor use the loose metadata “loose”.

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