Dontopedia
Explore

Thesaurus Lookup

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Thesaurus Lookup has 8 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

8 facts·6 predicates·3 sources·1 in dispute

Mostly:rdf:type(3), has part(1), potential bottleneck(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Has ParthasPart

Potential BottleneckpotentialBottleneck

  • true[2]sourceall time · 29aeb2c2 4d07 4e88 8e96 E87a1c5906a9

Part ofpartOf

Has ArgumenthasArgument

  • "happy"[1]sourceall time · 6a5b6aa1 Aa32 40c3 8cf9 113636ae9c2c

Potential IssuepotentialIssue

  • bottleneck[2]sourceall time · 29aeb2c2 4d07 4e88 8e96 E87a1c5906a9

Inbound mentions (5)

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.

aboutAbout(1)

containsContains(1)

locatedInLocated in(1)

partOfPart of(1)

relatedToRelated to(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.

8 undated
—
hasArgumentbeam/6a5b6aa1-aa32-40c3-8cf9-113636ae9c2c
"happy"
—
hasPartbeam/29aeb2c2-4d07-4e88-8e96-e87a1c5906a9
ex:lookup-process
—
partOfbeam/29aeb2c2-4d07-4e88-8e96-e87a1c5906a9
ex:api-v1-synonym-expand-endpoint
—
potentialBottleneckbeam/29aeb2c2-4d07-4e88-8e96-e87a1c5906a9
true
—
potentialIssuebeam/29aeb2c2-4d07-4e88-8e96-e87a1c5906a9
bottleneck
—
typebeam/6a5b6aa1-aa32-40c3-8cf9-113636ae9c2c
ex:FunctionCall
—
typebeam/fdf83faa-03c9-4e80-9792-6fa66000e80d
ex:FunctionComponent
—
typebeam/29aeb2c2-4d07-4e88-8e96-e87a1c5906a9
ex:Process

References (3)

3 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/6a5b6aa1-aa32-40c3-8cf9-113636ae9c2c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6a5b6aa1-aa32-40c3-8cf9-113636ae9c2c
      Show excerpt
      synonyms = thesaurus.get_synonyms("happy") end_time = time.time() print(f"Lookup took {end_time - start_time} seconds") print(synonyms) ``` I'm concerned that this implementation won't scale well for large datasets. Can someone help me opti…
  2. [2]beam-chunk5 facts
    customctx:claims/beam/29aeb2c2-4d07-4e88-8e96-e87a1c5906a9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/29aeb2c2-4d07-4e88-8e96-e87a1c5906a9
      Show excerpt
      By following these steps, you can optimize your `/api/v1/synonym-expand` endpoint for better performance using caching and rate limiting. If you have any specific issues or need further customization, feel free to ask! [Turn 10144] User: I…
  3. [3]beam-chunk1 fact
    customctx:claims/beam/fdf83faa-03c9-4e80-9792-6fa66000e80d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/fdf83faa-03c9-4e80-9792-6fa66000e80d
      Show excerpt
      logging.basicConfig(level=logging.INFO) def thesaurus_lookup(word): start_time = time.time() # Simulate the lookup time.sleep(0.1) end_time = time.time() logging.info(f"Lookup took {end_time - start_time} seconds") …

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.

↑