Dontopedia

87% recall

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

87% recall has 7 facts recorded in Dontopedia across 2 references, with 2 live disagreements.

7 facts·4 predicates·2 sources·2 in dispute

Mostly:rdf:type(2), value(1), unit(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

specifiesSpecifies(1)

targetTarget(1)

Other facts (5)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

5 facts
PredicateValueRef
Rdf:typePerformance Requirement[1]
Rdf:typePerformance Metric[2]
Value87[2]
Unitpercent[2]
Achieved on3000 Test Vectors[2]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/4d321e88-ba37-4e7c-9a1d-31c765fb7265
ex:PerformanceRequirement
labelbeam/4d321e88-ba37-4e7c-9a1d-31c765fb7265
92% recall rates
typebeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
ex:PerformanceMetric
labelbeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
87% recall
valuebeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
87
unitbeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
percent
achievedOnbeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
ex:3000-test-vectors

References (2)

2 references
  1. ctx:claims/beam/4d321e88-ba37-4e7c-9a1d-31c765fb7265
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4d321e88-ba37-4e7c-9a1d-31c765fb7265
      Show excerpt
      - The `retrieve_documents` method retrieves documents based on a specified metadata field and value. It executes a SQL query to filter documents by the given metadata field and value. 5. **Sample Usage**: - Create a database instance
  2. ctx:claims/beam/7bfc3b66-52bb-4c88-958d-a45db0030d45
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7bfc3b66-52bb-4c88-958d-a45db0030d45
      Show excerpt
      - **L2 Normalization**: Good for ensuring that the magnitude of the vector does not affect the similarity calculations. - **L1 Normalization**: Useful when sparsity is important. - **Max Normalization**: Useful when the largest element shou

See also

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