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Query Ids

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

Query Ids has 4 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

4 facts·2 predicates·3 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Has ValuehasValue

  • [1, 2, 3][1]sourceall time · Ce953854 D151 4cac B4e7 C4c5a5583796

Inbound mentions (1)

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.

definesVariableDefines Variable(1)

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.

4 undated
—
hasValuebeam/ce953854-d151-4cac-b4e7-c4c5a5583796
[1, 2, 3]
—
typebeam/ac759ab9-7ab3-4ec2-b6de-0d28a3f4e0cf
ex:Array
—
typebeam/ce953854-d151-4cac-b4e7-c4c5a5583796
ex:NumpyArray
—
typebeam/6223a392-38d5-4eaa-966d-ea0055735550
ex:NumPyArray

References (3)

3 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/ce953854-d151-4cac-b4e7-c4c5a5583796
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ce953854-d151-4cac-b4e7-c4c5a5583796
      Show excerpt
      # Calculate score mismatches mismatches = np.abs(sparse_scores - dense_scores) # Find indices where mismatches exceed the threshold mismatch_indices = np.where(mismatches > threshold)[0] # Log detailed informat…
  2. [2]beam-chunk1 fact
    customctx:claims/beam/ac759ab9-7ab3-4ec2-b6de-0d28a3f4e0cf
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ac759ab9-7ab3-4ec2-b6de-0d28a3f4e0cf
      Show excerpt
      mismatch_indices = np.where(mismatches > threshold)[0] # Log detailed information for each significant mismatch for idx in mismatch_indices: logging.warning( json.dumps({ 'query_id': quer…
  3. [3]beam-chunk1 fact
    customctx:claims/beam/6223a392-38d5-4eaa-966d-ea0055735550
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6223a392-38d5-4eaa-966d-ea0055735550
      Show excerpt
      # Find indices where mismatches exceed the threshold mismatch_indices = np.where(mismatches > threshold)[0] # Log detailed information for each significant mismatch for idx in mismatch_indices: logger.warning( …

See also

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