Relation Extraction

Identify relationships between entities and build your own knowledge graph.

  • Example 1

    Microsoft [Collaboration]is working with SpaceX on more than just the MDC. “The two companies also plan to further connect Starlink with Microsoft’s global network — including Azure edge devices — integrating SpaceX’s ground stations with Azure networking capabilities,” Microsoft said.

    Output

    subject:

    Microsoft

    object:

    SpaceX

    relation:

    collaboration

    confidence:

    0.87

    relation id:

    c686867a-dba2-4ec0-982b-a08cf41e66fe

  • Example 2

    Randal K. Quarles, the [Employer]Federal Reserve‘s Vice Chair for Supervision, said on Wednesday that he thought the central bank should start discussing how and when to slow its big bond purchases at “upcoming meetings” if his economic forecast was met or beaten.

    Output

    subject:

    Randal K. Quarles

    object:

    Federal Reserve

    relation:

    Employer

    confidence:

    0.78

    relation id:

    0c550c2f-eccb-40d7-ae82-eca62e096942

Available Engines

  • Relation Extraction, Person-Activity
  • Relation Extraction, Person-Affiliation
  • Relation Extraction, Person-Employer
  • Relation Extraction, Person-Membership
  • Relation Extraction, Person-Occupation
  • Relation Extraction, Person-Ownership
  • Relation Extraction, Person-Position Held
  • Relation Extraction, Person-Creator

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