Dontopedia

prompt

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

prompt has 123 facts recorded in Dontopedia across 48 references, with 11 live disagreements.

123 facts·87 predicates·48 sources·11 in dispute

Mostly:rdf:type(17), uses tool(3), affects(3)

Maturity scale raw canonical shape-checked rule-derived certified

Uses Toolin disputeusesTool

Rdf:typein disputerdf:type

Inbound mentions (63)

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.

hasParameterHas Parameter(4)

calledWithCalled With(2)

containsContains(2)

hasHas(2)

usedInUsed in(2)

acceptsAccepts(1)

aggregateOfAggregate of(1)

allowsEditingAllows Editing(1)

areMeanFieldRegardlessAre Mean Field Regardless(1)

believesRejectsUnsandboxBelieves Rejects Unsandbox(1)

cameOppositeCame Opposite(1)

composedOfComposed of(1)

constructsPromptConstructs Prompt(1)

describedIntendedDataFlowDescribed Intended Data Flow(1)

describesAggregationWithDescribes Aggregation With(1)

emphasizesPromptMattersALotEmphasizes Prompt Matters a Lot(1)

exemplifiesSkillExemplifies Skill(1)

expressesEnthusiasmExpresses Enthusiasm(1)

extractsInfoForExtracts Info for(1)

generatesGenerates(1)

givesMoreFlairGives More Flair(1)

hasAttributeHas Attribute(1)

hasComponentHas Component(1)

hasMutableAttributeHas Mutable Attribute(1)

hasMutableConfigurationHas Mutable Configuration(1)

hasPromptHas Prompt(1)

hasUrgencyHas Urgency(1)

haveOwnHave Own(1)

ignoresPromptIgnores Prompt(1)

includesPressRIncludes Press R(1)

includesPromptIncludes Prompt(1)

influencedByInfluenced by(1)

inputInput(1)

isClearAndSpecificIs Clear and Specific(1)

locationLocation(1)

matchesMatches(1)

modifiesModifies(1)

offeredToHelpSendOffered to Help Send(1)

parameterParameter(1)

passedPromptPassed Prompt(1)

passesVariablePasses Variable(1)

plansAgenticHarnessPromptPlans Agentic Harness Prompt(1)

plansToFixPlans to Fix(1)

plansToModifyPlans to Modify(1)

processesProcesses(1)

producedExactMatchWithModsProduced Exact Match With Mods(1)

requestedShareRequested Share(1)

requestsExampleOfRequests Example of(1)

requiresPoliceAttentionRequires Police Attention(1)

sharePromptShare Prompt(1)

shouldBeShould Be(1)

tracksEnhancementOfTracks Enhancement of(1)

triggerInputTrigger Input(1)

usedForTokenizationUsed for Tokenization(1)

usesUses(1)

withPromptWith Prompt(1)

Other facts (96)

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.

96 facts
PredicateValueRef
AffectsSkill Speed[30]
AffectsSkill Possibility[30]
AffectsSkill Cost[30]
Described Asmost confusing fucking[2]
Described Astasty[10]
Requires Mention ofAjaxdavis[11]
Requires Mention ofOmega[11]
PresupposesOmega Ajaxdavis Collaboration[11]
PresupposesOmega Ajaxdavis Collaboration[26]
TriggersAzure Openai Content Management Policy[15]
TriggersGeneration[21]
Triggers GenerationGenerated Text[20]
Triggers Generationnull[23]
Has ValueWhat should I feed my doggie?[22]
Has ValueWrite a short story about a character who visits the capital of France.[32]
MentionsAjaxdavis[26]
MentionsOmega[26]
Drifted OntoBar[28]
Drifted OntoBar[29]
Placeholder Format{target_word}[47]
Placeholder Format{context_text}[47]
Usable byAgentic Harnesses[1]
ContainsConditionals Pointing to Tool Use[3]
Aims to PreventSsh Disconnects[4]
Generated FromJob Posting[5]
Should Tie toMeta Data[6]
Boot Up Agents6 team agents[7]
Examplehow to use 'railway with javascript'[8]
Contains ConditionalsTool Use[8]
Callable AsSkill[8]
Could Be Called SkillAjaxdavis[9]
Is Updated VersionPrevious Prompt[10]
Requires Description ofOmega Ajaxdavis Collaboration[11]
Hedges WithOr Something Else[12]
Is in Context ofFuture 2026 Chat[12]
Has TitleTrustworthy Colleague Bot for Lisa’s Lab — Female Tony Stark Mode[12]
Targets AudienceLisa[12]
Pasted IntoGemini[13]
Is for Image Generationtrue[13]
Copied FromTwitter[13]
GeneratesSexy Woman[13]
DescribesYoung Woman[13]
Has High Fidelity to OutputImage[13]
Originates From TwitterTwitter[13]
Governs AllModel Outputs[14]
Determines Output VariabilityModel Outputs[14]
Is Core toAI Behavior[15]
Equivalent toPersona[17]
Has TextThe theory of[18]
Has Top K8[19]
Has Temp0.95[19]
Has Stopnone[19]
References IdiomMans Best Friend[19]
Is Incomplete Sentencetrue[21]
Presupposes Dogs Relation to ManDogs Mans Best Friend[24]
IsThe fundamental nature of consciousness and information[25]
Is Input toClaude[27]
Passed With or Without-p[27]
Shares Fate WithPervert[28]
Is Schoonertrue[28]
Drifted toBar[28]
Broken Away From Mooringstrue[28]
Bridged Up onSand Spit[28]
Lies in Listed Positionnow[28]
Made Efforts to Turn Oververy great[28]
Dragged Anchorsearly morning[28]
Rode Out TowardsSea[28]
Type ofInput[30]
Requires Specificationtrue[30]
Performance Factortrue[30]
Affects Executiontrue[30]
Input Factortrue[30]
Configurable Parametertrue[30]
Specified Inputtrue[30]
Input Specificationtrue[30]
Is Used forGeneration Layer Generate[32]
Input TypeString[33]
Part ofClaude Configuration[35]
Intended forAgent[38]
Parameter ofMake Request[39]
Passed toLlm Provider[39]
Has Significant ImpactTrue[43]
Status of ManyPoorly Written[43]
GovernsOutput[43]
Contains Overhead19[44]
Occurs Duringfirst time running script[45]
Uses F String Formattingtrue[47]
Generated forSpell Corrector[47]
Template TypefString[47]
Contains QueryQuery[48]
Contains ContextContext[48]
Assigned byReformulate Query[48]
Used inInputs[48]
Construction Methodf-string-formatting[48]
Constructed ViaF String Formatting[48]
Appended byExamples[48]

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.

usableByblah/blocks/part-10
ex:agentic-harnesses
describedAsblah/general/part-26
most confusing fucking
containsblah/general/part-83
ex:conditionals-pointing-to-tool-use
aimsToPreventblah/maldoror/part-5
ex:ssh-disconnects
generatedFromblah/models/part-7
ex:job-posting
shouldTieToblah/omega-debug/part-17
ex:meta-data
bootUpAgentsblah/omega-debug/part-56
6 team agents
exampleblah/general/part-17
how to use 'railway with javascript'
containsConditionalsblah/general/part-17
ex:tool-use
callableAsblah/general/part-17
ex:skill
couldBeCalledSkillblah/general/part-82
ex:ajaxdavis
isUpdatedVersionblah/omega/part-759
ex:previous-prompt
describedAsblah/omega/part-759
tasty
requiresMentionOfblah/omega/part-1154
ex:ajaxdavis
presupposesblah/omega/part-1154
ex:omega-ajaxdavis-collaboration
requiresDescriptionOfblah/omega/part-1154
ex:omega-ajaxdavis-collaboration
requiresMentionOfblah/omega/part-1154
ex:omega
hedgesWithblah/omega/part-1201
ex:or-something-else
isInContextOfblah/omega/part-1201
ex:future-2026-chat
hasTitleblah/omega/part-1201
Trustworthy Colleague Bot for Lisa’s Lab — Female Tony Stark Mode
targetsAudienceblah/omega/part-1201
ex:lisa
pastedIntoblah/prompts/part-2
ex:gemini
isForImageGenerationblah/prompts/part-2
true
copiedFromblah/prompts/part-2
ex:twitter
generatesblah/prompts/part-2
ex:sexy-woman
describesblah/prompts/part-2
ex:young-woman
hasHighFidelityToOutputblah/prompts/part-2
ex:image
originatesFromTwitterblah/prompts/part-2
ex:twitter
governsAllblah/resources/part-29
ex:model-outputs
determinesOutputVariabilityblah/resources/part-29
ex:model-outputs
triggersblah/safiersemantics/part-37
ex:azure-openai-content-management-policy
isCoreToblah/safiersemantics/part-37
ex:ai-behavior
usesToolblah/tpmjs/part-22
ex:sprites-url-set-tool
usesToolblah/tpmjs/part-22
ex:sprites-create-tool
usesToolblah/tpmjs/part-22
ex:sprites-exec-tool
equivalentToblah/tpmjs/part-42
ex:persona
hasTextblah/watt-activation/part-130
The theory of
hasTopKblah/watt-activation/part-141
8
hasTempblah/watt-activation/part-141
0.95
hasStopblah/watt-activation/part-141
none
referencesIdiomblah/watt-activation/part-141
ex:mans-best-friend
triggersGenerationblah/watt-activation/part-155
ex:generated-text
isIncompleteSentenceblah/watt-activation/part-156
true
triggersblah/watt-activation/part-156
ex:generation
hasValueblah/watt-activation/part-167
What should I feed my doggie?
triggersGenerationblah/watt-activation/part-248
null
presupposesDogsRelationToManblah/watt-activation/part-631
ex:dogs-mans-best-friend
isblah/watt-activation/part-673
The fundamental nature of consciousness and information
mentionsblah/omega/part-1153
ex:ajaxdavis
presupposesblah/omega/part-1153
ex:omega-ajaxdavis-collaboration
mentionsblah/omega/part-1153
ex:omega
isInputToblah/random/part-5
ex:claude
passedWithOrWithoutblah/random/part-5
-p
sharesFateWithtrove-cooktown/north-shore-full
ex:pervert
driftedOntotrove-cooktown/north-shore-full
ex:bar
isSchoonertrove-cooktown/north-shore-full
true
driftedTotrove-cooktown/north-shore-full
ex:bar
brokenAwayFromMooringstrove-cooktown/north-shore-full
true
bridgedUpOntrove-cooktown/north-shore-full
ex:sand-spit
liesInListedPositiontrove-cooktown/north-shore-full
now
madeEffortsToTurnOvertrove-cooktown/north-shore-full
very great
draggedAnchorstrove-cooktown/north-shore-full
early morning
rodeOutTowardstrove-cooktown/north-shore-full
ex:sea
driftedOntobrackenridge-cairns-1880-1900/trove-new/146680463_Friday-22-February-1884_Colonial-Telegrams-Cooktown-February-19
ex:bar
typeblah/agentsofempire/2
ex:Input
labelblah/agentsofempire/2
prompt
typeOfblah/agentsofempire/2
ex:input
affectsblah/agentsofempire/2
ex:skill-speed
affectsblah/agentsofempire/2
ex:skill-possibility
affectsblah/agentsofempire/2
ex:skill-cost
requiresSpecificationblah/agentsofempire/2
true
performanceFactorblah/agentsofempire/2
true
affectsExecutionblah/agentsofempire/2
true
inputFactorblah/agentsofempire/2
true
configurableParameterblah/agentsofempire/2
true
specifiedInputblah/agentsofempire/2
true
inputSpecificationblah/agentsofempire/2
true
typebeam/f750f866-c88e-4afe-8e28-140d89b9cb27
ex:InputParameter
hasValuebeam/4b7147d6-1149-49f0-aeec-c5c3a39f9c97
Write a short story about a character who visits the capital of France.
isUsedForbeam/4b7147d6-1149-49f0-aeec-c5c3a39f9c97
ex:generation-layer-generate
typebeam/571f6810-0d94-43f6-8085-cf3f1b3c6b35
ex:String
labelbeam/571f6810-0d94-43f6-8085-cf3f1b3c6b35
prompt
inputTypebeam/571f6810-0d94-43f6-8085-cf3f1b3c6b35
ex:string
typeblah/agents/6
ex:Concept
labelblah/agents/6
prompt
typeblah/agents/4
ex:Configuration
labelblah/agents/4
prompt
partOfblah/agents/4
ex:claude-configuration
typeblah/general/82
ex:Concept
labelblah/general/82
prompt
typeblah/general/86
ex:Data
typeblah/models/7
ex:TextInstruction
intendedForblah/models/7
ex:agent
typebeam/4b8ea4b0-f383-42eb-81ec-520f3a41cb29
ex:String
parameterOfbeam/4b8ea4b0-f383-42eb-81ec-520f3a41cb29
ex:make_request
passedTobeam/4b8ea4b0-f383-42eb-81ec-520f3a41cb29
ex:LLM provider
typebeam/60427199-51f4-4595-8b66-d7adaf6c72c8
ex:Variable
typebeam/1ce2c052-cbb4-4848-806d-979e7ea1aa35
ex:API-Input
typeblah/omega/574
ex:SystemPrompt
typeblah/resources/29
ex:SoftwareConfiguration
hasSignificantImpactblah/resources/29
ex:true
statusOfManyblah/resources/29
ex:poorly-written
governsblah/resources/29
ex:output
containsOverheadblah/safiersemantics/47
19
typebeam/188d215f-1010-45a5-8c39-a789dbdc60ba
ex:Event
labelbeam/188d215f-1010-45a5-8c39-a789dbdc60ba
prompt
occursDuringbeam/188d215f-1010-45a5-8c39-a789dbdc60ba
first time running script
typebeam/a190b916-1df7-4a0f-b00d-ef7baac2571d
ex:String
labelbeam/a190b916-1df7-4a0f-b00d-ef7baac2571d
prompt
typebeam/751d2a65-17e5-4784-b518-e992e985fc9f
ex:Variable
usesFStringFormattingbeam/751d2a65-17e5-4784-b518-e992e985fc9f
true
generatedForbeam/751d2a65-17e5-4784-b518-e992e985fc9f
ex:spell_corrector
templateTypebeam/751d2a65-17e5-4784-b518-e992e985fc9f
fString
placeholderFormatbeam/751d2a65-17e5-4784-b518-e992e985fc9f
{target_word}
placeholderFormatbeam/751d2a65-17e5-4784-b518-e992e985fc9f
{context_text}
containsQuerybeam/50eac377-aaaf-4822-a440-3716011a2137
ex:query
containsContextbeam/50eac377-aaaf-4822-a440-3716011a2137
ex:context
typebeam/50eac377-aaaf-4822-a440-3716011a2137
ex:Variable
assignedBybeam/50eac377-aaaf-4822-a440-3716011a2137
ex:reformulate_query
usedInbeam/50eac377-aaaf-4822-a440-3716011a2137
ex:inputs
constructionMethodbeam/50eac377-aaaf-4822-a440-3716011a2137
f-string-formatting
constructedViabeam/50eac377-aaaf-4822-a440-3716011a2137
ex:f-string-formatting
appendedBybeam/50eac377-aaaf-4822-a440-3716011a2137
ex:examples

References (48)

48 references
  1. [1]Part 101 fact
    ctx:discord/blah/blocks/part-10
  2. [2]Part 261 fact
    ctx:discord/blah/general/part-26
  3. [3]Part 831 fact
    ctx:discord/blah/general/part-83
  4. [4]Part 51 fact
    ctx:discord/blah/maldoror/part-5
  5. [5]Part 71 fact
    ctx:discord/blah/models/part-7
  6. [6]Part 171 fact
    ctx:discord/blah/omega-debug/part-17
  7. [7]Part 561 fact
    ctx:discord/blah/omega-debug/part-56
  8. [8]Part 173 facts
    ctx:discord/blah/general/part-17
  9. [9]Part 821 fact
    ctx:discord/blah/general/part-82
  10. [10]Part 7592 facts
    ctx:discord/blah/omega/part-759
  11. [11]Part 11544 facts
    ctx:discord/blah/omega/part-1154
  12. [12]Part 12014 facts
    ctx:discord/blah/omega/part-1201
  13. [13]Part 27 facts
    ctx:discord/blah/prompts/part-2
  14. [14]Part 292 facts
    ctx:discord/blah/resources/part-29
  15. [15]Part 372 facts
    ctx:discord/blah/safiersemantics/part-37
  16. [16]Part 223 facts
    ctx:discord/blah/tpmjs/part-22
  17. [17]Part 421 fact
    ctx:discord/blah/tpmjs/part-42
  18. [18]Part 1301 fact
    ctx:discord/blah/watt-activation/part-130
  19. [19]Part 1414 facts
    ctx:discord/blah/watt-activation/part-141
  20. [20]Part 1551 fact
    ctx:discord/blah/watt-activation/part-155
  21. [21]Part 1562 facts
    ctx:discord/blah/watt-activation/part-156
  22. [22]Part 1671 fact
    ctx:discord/blah/watt-activation/part-167
  23. [23]Part 2481 fact
    ctx:discord/blah/watt-activation/part-248
  24. [24]Part 6311 fact
    ctx:discord/blah/watt-activation/part-631
  25. [25]Part 6731 fact
    ctx:discord/blah/watt-activation/part-673
  26. [26]Part 11533 facts
    ctx:discord/blah/omega/part-1153
  27. [27]Part 52 facts
    ctx:discord/blah/random/part-5
  28. [28]North Shore Full10 facts
    ctx:genes/trove-cooktown/north-shore-full
  29. ctx:genes/brackenridge-cairns-1880-1900/trove-new/146680463_Friday-22-February-1884_Colonial-Telegrams-Cooktown-February-19
  30. [30]213 facts
    ctx:discord/blah/agentsofempire/2
    • full textctx:discord/blah/agentsofempire/2
      text/plain2 KBdoc:discord/blah/agentsofempire/2
      Show excerpt
      [2026-01-30 19:58] lisamegawatts: could do a weid abstraction where the agent gets skill badges by actually doing a task and then commiting the exact workflow to a file, like you complete quest and the archivist writes your tale of glory in
  31. ctx:claims/beam/f750f866-c88e-4afe-8e28-140d89b9cb27
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f750f866-c88e-4afe-8e28-140d89b9cb27
      Show excerpt
      [Turn 1180] User: I'm trying to implement a modular design for my RAG system, focusing on separate retrieval and generation layers to handle 8,000 queries hourly, as mentioned in bullet point 24. I've decided to use Python as my primary lan
  32. ctx:claims/beam/4b7147d6-1149-49f0-aeec-c5c3a39f9c97
  33. ctx:claims/beam/571f6810-0d94-43f6-8085-cf3f1b3c6b35
    • full textbeam-chunk
      text/plain1 KBdoc:beam/571f6810-0d94-43f6-8085-cf3f1b3c6b35
      Show excerpt
      self.model = AutoModelForSeq2SeqLM.from_pretrained("t5-small") # Use a smaller model self.tokenizer = AutoTokenizer.from_pretrained("t5-small") def retrieve(self, query): # Tokenize the query inputs = s
  34. [34]62 facts
    ctx:discord/blah/agents/6
    • full textctx:discord/blah/agents/6
      text/plain1 KBdoc:discord/blah/agents/6
      Show excerpt
      [2026-03-15 03:03] traves_theberge: The key insight: LLM + loop + tools = agent The Agent Loop The core while-loop Code: basic loop skeleton Stop conditions: end_turn, max_iterations, human approval Sampling (The Model Layer) Making API
  35. [35]43 facts
    ctx:discord/blah/agents/4
    • full textctx:discord/blah/agents/4
      text/plain3 KBdoc:discord/blah/agents/4
      Show excerpt
      [2026-02-14 14:06] xenonfun: trying one. This you need to fix the README.md your install instructions don't work as is, it clones repo so must be `claude plugin marketplace add DavinciDreams/Agent-Team-Plugins` (files: Screenshot_2026-02-14
  36. [36]822 facts
    ctx:discord/blah/general/82
    • full textgeneral-82
      text/plain3 KBdoc:agent/general-82/7ac3d43d-c146-4b8d-a763-8ed097a9841a
      Show excerpt
      [2025-12-05 21:45] ajaxdavis: who are you [2025-12-06 05:56] willjasen: i need to find the answers to know myself [2025-12-06 07:15] alluring_piglet_29962: https://old.reddit.com/r/LLMDevs/comments/1pdy2i7/llm_skills_have_quietly_shifted_fr
  37. [37]861 fact
    ctx:discord/blah/general/86
    • full textgeneral-86
      text/plain3 KBdoc:agent/general-86/7bec934b-22b4-4e87-afd5-22ca8fa26cd9
      Show excerpt
      [2025-12-10 17:23] ajaxdavis: https://registry.jsonresume.org/thomasdavis/jobs https://registry.jsonresume.org/thomasdavis/jobs-graph (better) then these two looks should work still attempting to finish one good ui/ux (and get rid of r
  38. [38]72 facts
    ctx:discord/blah/models/7
    • full textmodels-7
      text/plain3 KBdoc:agent/models-7/b883b3bd-bd72-412e-a054-612923d77537
      Show excerpt
      [2025-04-28 07:38] lisamegawatts: roo code is agent team in ide, they suggest if you need another agent on your team you can input a job posting for that agent it will create the prompt for it [2025-04-28 07:40] lisamegawatts: i have it run
  39. ctx:claims/beam/4b8ea4b0-f383-42eb-81ec-520f3a41cb29
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4b8ea4b0-f383-42eb-81ec-520f3a41cb29
      Show excerpt
      optimizer = AdamW(model.parameters(), lr=1e-5) texts = ["This is an example sentence."] * 1000 # Example dataset dataset = TextDataset(texts, tokenizer) dataloader = DataLoader(dataset, batch_size=32, num_workers=4) train_model_with_amp(
  40. ctx:claims/beam/60427199-51f4-4595-8b66-d7adaf6c72c8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/60427199-51f4-4595-8b66-d7adaf6c72c8
      Show excerpt
      prompt = "This is an example prompt." response = make_request(prompt) print(response) ``` Can you help me figure out what's going on and how to fix it? ->-> 4,1 [Turn 2427] Assistant: Certainly! Inconsistent results from an LLM provider ca
  41. ctx:claims/beam/1ce2c052-cbb4-4848-806d-979e7ea1aa35
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1ce2c052-cbb4-4848-806d-979e7ea1aa35
      Show excerpt
      5. **Make the API call**: - `response = requests.post(...)`: - Use `requests.post` to send a POST request to the API endpoint. - Include the `Authorization` header with your API key. - Pass the parameters as JSON data. 6.
  42. [42]5741 fact
    ctx:discord/blah/omega/574
    • full textomega-574
      text/plain3 KBdoc:agent/omega-574/88d12613-8e0e-4b4c-a095-a847bf497952
      Show excerpt
      [2025-12-04 15:37] omega [bot]: 🔧 1/2: pgCreateTable ✅ Success ```json { "success": true, "table": "script_storage", "columns": [ { "name": "id", "type": "SERIAL" }, { "name": "script_name", "type":
  43. [43]294 facts
    ctx:discord/blah/resources/29
    • full textresources-29
      text/plain3 KBdoc:agent/resources-29/804b8b4a-710c-4ad0-88f0-c1a8f458ca8c
      Show excerpt
      [2026-01-12 17:32] ajaxdavis: it uses base-ui.com and css modules (design tokens) claude should be able to use it easily [2026-01-12 17:32] ajaxdavis: will just have to get it building in your setup some how [2026-01-12 17:33] ajaxdavis: h
  44. [44]471 fact
    ctx:discord/blah/safiersemantics/47
    • full textsafiersemantics-47
      text/plain3 KBdoc:agent/safiersemantics-47/75637865-5325-488a-94dc-a6baa8bd7c5b
      Show excerpt
      [2026-02-03 21:52] xenonfun: its so close, its fucking around forever with DataProtectionKeys issues which is preventing me from logging into to staging, but it can deploy just fine, its got multiple servers with different obsfucation keys.
  45. ctx:claims/beam/188d215f-1010-45a5-8c39-a789dbdc60ba
  46. ctx:claims/beam/a190b916-1df7-4a0f-b00d-ef7baac2571d
  47. ctx:claims/beam/751d2a65-17e5-4784-b518-e992e985fc9f
  48. ctx:claims/beam/50eac377-aaaf-4822-a440-3716011a2137
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      text/plain1 KBdoc:beam/50eac377-aaaf-4822-a440-3716011a2137
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      prompt = f"Reformulate the query '{query}' considering the context: {context}. " else: prompt = f"Reformulate the query '{query}'. " # Add examples if needed examples = "Examples: 'What is the capital of France?

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