Dontopedia

Smaller Subset

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

Smaller Subset has 3 facts recorded in Dontopedia across 2 references.

3 facts·3 predicates·2 sources
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.

hasPartHas Part(1)

usesUses(1)

Other facts (3)

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.

3 facts
PredicateValueRef
Used fortesting-if-issue-persists[1]
Rdf:typeDataset Portion[2]
Is Part ofDataset[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.

usedForbeam/f71bbefb-0e91-4dbb-b658-7d7201b83918
testing-if-issue-persists
typebeam/411a1538-884c-4c53-bd88-0a36a9406f98
ex:DatasetPortion
isPartOfbeam/411a1538-884c-4c53-bd88-0a36a9406f98
ex:dataset

References (2)

2 references
  1. ctx:claims/beam/f71bbefb-0e91-4dbb-b658-7d7201b83918
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f71bbefb-0e91-4dbb-b658-7d7201b83918
      Show excerpt
      - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. Adjust the number of threads based on your CPU capabilities. 4. **Training the Index**: - The index needs to be trained on the data bef
  2. ctx:claims/beam/411a1538-884c-4c53-bd88-0a36a9406f98
    • full textbeam-chunk
      text/plain1 KBdoc:beam/411a1538-884c-4c53-bd88-0a36a9406f98
      Show excerpt
      - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. Adjust the number of threads based on your CPU capabilities. 4. **Training the Index**: - The index needs to be trained on the data bef

See also

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