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Context Vector

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Context Vector has 21 facts recorded in Dontopedia across 4 references, with 5 live disagreements.

21 facts·11 predicates·4 sources·5 in dispute

Mostly:rdf:type(4), element at index(4), has element(3)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Descriptionin disputedescription

  • placeholders[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0
  • Example context vector[1]sourceall time · A1e88667 D286 4285 99ae A5a39b7d9de2

Has Valuein disputehasValue

  • [1,2,0.3][2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0
  • [1, 2, 3][1]sourceall time · A1e88667 D286 4285 99ae A5a39b7d9de2

Element at Indexin disputeelementAtIndex

  • 1:0[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0
  • 4:0.3[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0
  • 2:1[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0
  • 3:2[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0

Has Elementin disputehasElement

  • 1[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0
  • 0.3[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0
  • 2[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0

Representsrepresents

Is Input toisInputTo

Dimensionalitydimensionality

  • 3[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0

Should Be Derived FromshouldBeDerivedFrom

  • context data[2]all time · 45128648 Dbfd 4d3c Bae9 46f13c69d5a0

Is Parameter ofisParameterOf

Created bycreatedBy

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.

betweenBetween(1)

hasParameterHas Parameter(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.

createdBybeam/a1e88667-d286-4285-99ae-a5a39b7d9de2
ex:numpy_array
descriptionbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
placeholders
descriptionbeam/a1e88667-d286-4285-99ae-a5a39b7d9de2
Example context vector
dimensionalitybeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
3
elementAtIndexbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
1:0
elementAtIndexbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
4:0.3
elementAtIndexbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
2:1
elementAtIndexbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
3:2
hasElementbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
1
hasElementbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
0.3
hasElementbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
2
hasValuebeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
[1,2,0.3]
hasValuebeam/a1e88667-d286-4285-99ae-a5a39b7d9de2
[1, 2, 3]
isInputTobeam/c75986d9-237e-4635-ab0b-7e072dc32b3b
ex:contextual_similarity
isParameterOfbeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
ex:contextual_similarity
typebeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
ex:NumpyArray
typebeam/a1e88667-d286-4285-99ae-a5a39b7d9de2
ex:NumpyArray
typebeam/c75986d9-237e-4635-ab0b-7e072dc32b3b
ex:Parameter
typebeam/da8f682c-cc5e-494f-b7f1-381c8d8fc05b
ex:Parameter
representsbeam/c75986d9-237e-4635-ab0b-7e072dc32b3b
ex:contextual-information
shouldBeDerivedFrombeam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
context data

References (4)

4 references
  1. [1]beam-chunk4 facts
    customctx:claims/beam/a1e88667-d286-4285-99ae-a5a39b7d9de2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a1e88667-d286-4285-99ae-a5a39b7d9de2
      Show excerpt
      reformulated_query = f"{query} in {context['location']}" return reformulated_query # Example context and query context = {'location': 'New York', 'previous_searches': ['coffee shops']} query = "coffee shops" # Reformulate the quer
  2. customctx:claims/beam/45128648-dbfd-4d3c-bae9-46f13c69d5a0
  3. [3]beam-chunk3 facts
    customctx:claims/beam/c75986d9-237e-4635-ab0b-7e072dc32b3b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c75986d9-237e-4635-ab0b-7e072dc32b3b
      Show excerpt
      2. **Analyze Results**: Review the reformulated query and the contextual similarity to understand how well the context aligns with the query. 3. **Refine Implementation**: Based on the results, refine the context extraction and reformulatio
  4. [4]beam-chunk1 fact
    customctx:claims/beam/da8f682c-cc5e-494f-b7f1-381c8d8fc05b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/da8f682c-cc5e-494f-b7f1-381c8d8fc05b
      Show excerpt
      [Turn 10484] User: Sure, let's start with the implementation. I'll define the context and query, then reformulate the query based on the context. I'll also calculate the contextual similarity to see how well the context aligns with the quer

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.