name

as donto believed on

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

name has 23 facts recorded in Dontopedia across 15 references, with 3 live disagreements.

23 facts·3 predicates·15 sources·3 in dispute

Rdf:typein dispute`rdf:type`

Dictionary Key^[2]all time · E0d1a704 994b 43a3 A254 68461b2929e7
Key^[3]all time · 430d05fe C8b4 444a 8ece 35a1f576fb26
Dictionary Key^[4]all time · 5cb8f644 7a7b 4b3d Afd1 E7d85b36637e
Dictionary Key^[5]all time · 5cbfc373 2797 488e 9dab 6ae88803e66c
Dictionary Key^[6]all time · 9bbaf7ec D1f0 4843 9bbf E2b297fec107
Dictionary Key^[9]all time · E7d51436 3ca5 4efa 9aae 3966f2e3f857
Dictionary Key^[10]all time · 85acc472 7fac 4b53 Ab78 88bde083ba6f
Dictionary Key^[11]all time · 7a77c0c9 A091 4da7 8d44 0566e4ccb2dc
Yaml Key^[12]all time · 734dc6e8 3b4f 4358 B73d C6366dbc82a7
Yaml Key^[13]all time · 7a19f848 E36c 4211 9fc3 3a825e23e538

Inbound mentions (23)

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.

`hasKey`Has Key(10)

Challenge 1ex:challenge-1
Challenge Dictionaryex:challenge-dictionary
Challenge Dictionaryex:challenge-dictionary
Data Dictionaryex:data-dictionary
Dependency Dictionaryex:dependency-dictionary
Dependency Dictionaryex:dependency-dictionary
Dictionary Formatex:dictionary-format
Result Variableex:result-variable
Sample Datasetex:sample-dataset
Task Dictionaryex:task-dictionary

`containsKey`Contains Key(3)

Data Dictionaryex:data-dictionary
Name Query Dictex:name-query-dict
Priority Name Dictex:priority-name-dict

`accessesDictionaryKey`Accesses Dictionary Key(2)

Challenge Iterationex:challenge-iteration
Challenge Iteration Loopex:challenge-iteration-loop

`expectedKeys`Expected Keys(2)

Dependency Dictex:dependency-dict
Dependency Dictionaryex:dependency-dictionary

`hasYamlKey`Has Yaml Key(2)

Document Bodyex:document-body
Github Actions Workflowex:github-actions-workflow

`accesses-key`Accesses Key(1)

Transition Name Accessex:transition-name-access

`containsKeys`Contains Keys(1)

User Dictionariesex:user-dictionaries

`dictionaryKeyAccess`Dictionary Key Access(1)

Get Transition Id Functionex:get-transition-id-function

`referencesKey`References Key(1)

Challenge Name Placeholderex:challenge-name-placeholder

Other facts (5)

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.

5 facts

Predicate	Value	Ref
Has Value	Task Priority Value	[1]
Has Value	['john', 'jane', 'bob']	[7]
Has Value	moltbook	[8]
Has Value	example	[12]
Key String	name	[11]

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.

23 undated

—

hasValuebeam/dbe4eca8-d200-4392-bd2f-1d8e551fc477

ex:task-priority-value

—

typebeam/e0d1a704-994b-43a3-a254-68461b2929e7

ex:DictionaryKey

—

typebeam/430d05fe-c8b4-444a-8ece-35a1f576fb26

ex:Key

—

labelbeam/430d05fe-c8b4-444a-8ece-35a1f576fb26

name key

—

typebeam/5cb8f644-7a7b-4b3d-afd1-e7d85b36637e

ex:DictionaryKey

—

typebeam/5cbfc373-2797-488e-9dab-6ae88803e66c

ex:DictionaryKey

—

labelbeam/5cbfc373-2797-488e-9dab-6ae88803e66c

name

—

typebeam/9bbaf7ec-d1f0-4843-9bbf-e2b297fec107

ex:DictionaryKey

—

hasValuebeam/c39988e0-db33-4984-8c77-56ffcecd919a

ex:['John', 'Jane', 'Bob']

—

labelblah/omega/1050

name

—

hasValueblah/omega/1050

moltbook

—

typebeam/e7d51436-3ca5-4efa-9aae-3966f2e3f857

ex:DictionaryKey

—

typebeam/85acc472-7fac-4b53-ab78-88bde083ba6f

ex:DictionaryKey

—

labelbeam/85acc472-7fac-4b53-ab78-88bde083ba6f

name

—

typebeam/7a77c0c9-a091-4da7-8d44-0566e4ccb2dc

ex:DictionaryKey

—

keyStringbeam/7a77c0c9-a091-4da7-8d44-0566e4ccb2dc

name

—

typebeam/734dc6e8-3b4f-4358-b73d-c6366dbc82a7

ex:YAMLKey

—

labelbeam/734dc6e8-3b4f-4358-b73d-c6366dbc82a7

name

—

hasValuebeam/734dc6e8-3b4f-4358-b73d-c6366dbc82a7

example

—

typebeam/7a19f848-e36c-4211-9fc3-3a825e23e538

ex:YAMLKey

—

labelbeam/7a19f848-e36c-4211-9fc3-3a825e23e538

name

—

typebeam/14ff5052-2d44-4e08-8aa9-69aa3c2755cc

ex:StringKey

—

typebeam/4829368a-e2bb-48b4-ac12-64e357e371b7

ex:PropertyKey

References (15)

15 references

[1]Dbe4eca8 D200 4392 Bd2f 1d8e551fc4771 fact
ctx:claims/beam/dbe4eca8-d200-4392-bd2f-1d8e551fc477
- full textbeam-chunk
  text/plain1 KBdoc:beam/dbe4eca8-d200-4392-bd2f-1d8e551fc477
  Show excerpt
  2. Create a new filter to show tasks with a "High" priority. 3. Use this filter to focus on high-priority tasks. #### Step 4: Use Swimlanes in Jira Boards 1. Go to your Scrum or Kanban board. 2. Use swimlanes to group tasks by priority. 3.…
[2]E0d1a704 994b 43a3 A254 68461b2929e71 fact
ctx:claims/beam/e0d1a704-994b-43a3-a254-68461b2929e7
- full textbeam-chunk
  text/plain1 KBdoc:beam/e0d1a704-994b-43a3-a254-68461b2929e7
  Show excerpt
  [Turn 556] User: I'm evaluating different technology stacks for my project, and I'm considering using a hybrid approach that combines multiple frameworks and libraries. Can you help me create a simple example that demonstrates how to integr…
[3]430d05fe C8b4 444a 8ece 35a1f576fb262 facts
ctx:claims/beam/430d05fe-c8b4-444a-8ece-35a1f576fb26
- full textbeam-chunk
  text/plain1 KBdoc:beam/430d05fe-c8b4-444a-8ece-35a1f576fb26
  Show excerpt
  3. **Efficiency**: - The code uses a loop to iterate through the projections and applies the refinement logic only to the selected indices. ### Example Output The output will display the refined projections, with some projections adjus…
[4]5cb8f644 7a7b 4b3d Afd1 E7d85b36637e1 fact
ctx:claims/beam/5cb8f644-7a7b-4b3d-afd1-e7d85b36637e
- full textbeam-chunk
  text/plain1 KBdoc:beam/5cb8f644-7a7b-4b3d-afd1-e7d85b36637e
  Show excerpt
  print(f'Database: {database_name}, Indexing Strategy: {strategy}, Query: {query["query"]}, Time: {elapsed_time:.6f} seconds') elif database_name == 'mongodb': db = databases[database_name] …
[5]5cbfc373 2797 488e 9dab 6ae88803e66c2 facts
ctx:claims/beam/5cbfc373-2797-488e-9dab-6ae88803e66c
- full textbeam-chunk
  text/plain1 KBdoc:beam/5cbfc373-2797-488e-9dab-6ae88803e66c
  Show excerpt
  decrypted_vector = decrypt_vector(result["vector"]) print(f"Name: {result['name']}, Vector: {decrypted_vector}") ``` ### Explanation 1. **Encryption Functions**: - `encrypt_vector`: Serializes the vector to bytes, encodes it in…
[6]9bbaf7ec D1f0 4843 9bbf E2b297fec1071 fact
ctx:claims/beam/9bbaf7ec-d1f0-4843-9bbf-e2b297fec107
- full textbeam-chunk
  text/plain1 KBdoc:beam/9bbaf7ec-d1f0-4843-9bbf-e2b297fec107
  Show excerpt
  Would you like to explore any specific aspect of these configurations further, such as setting up detailed monitoring or configuring more advanced ASG settings? [Turn 2658] User: I need help designing a data modeling approach for my RAG sy…
[7]C39988e0 Db33 4984 8c77 56ffcecd919a1 fact
ctx:claims/beam/c39988e0-db33-4984-8c77-56ffcecd919a
- full textbeam-chunk
  text/plain1 KBdoc:beam/c39988e0-db33-4984-8c77-56ffcecd919a
  Show excerpt
  # Vector exists but document does not vector_collection.delete([vec_id]) # Run reconciliation periodically reconcile_data() ``` ### Full Example Script Here is the complete script combining all the steps: ```pyth…
[8]10502 facts
ctx:discord/blah/omega/1050
- full textomega-1050
  text/plain2 KBdoc:agent/omega-1050/3ca38bb6-67b1-4341-a951-c6319780a0a8
  Show excerpt
  [2026-02-06 15:06] omega [bot]: 🔧 1/1: webFetch ✅ Success **Args:** ```json { "url": "https://www.moltbook.com/skill.md", "userAgent": "OmegaBot/1.0", "mode": "parsed", "maxRedirects": 10 } ``` **Result:** ```json { "success": tru…
[9]E7d51436 3ca5 4efa 9aae 3966f2e3f8571 fact
ctx:claims/beam/e7d51436-3ca5-4efa-9aae-3966f2e3f857
- full textbeam-chunk
  text/plain1 KBdoc:beam/e7d51436-3ca5-4efa-9aae-3966f2e3f857
  Show excerpt
  artifact.update(**kwargs) else: raise KeyError(f"No artifact found with ID {artifact_id}") def remove_artifact(self, artifact_id): if artifact_id in self.artifacts: del self.artifacts…
[10]85acc472 7fac 4b53 Ab78 88bde083ba6f2 facts
ctx:claims/beam/85acc472-7fac-4b53-ab78-88bde083ba6f
- full textbeam-chunk
  text/plain1 KBdoc:beam/85acc472-7fac-4b53-ab78-88bde083ba6f
  Show excerpt
  return 5 # Less complex task else: return 5 # Default effort def prioritize_tasks(tasks): # Assign priorities based on task description priority_map = { 'RSA-2048': 3, # High priority 'Optimiz…
[11]7a77c0c9 A091 4da7 8d44 0566e4ccb2dc2 facts
ctx:claims/beam/7a77c0c9-a091-4da7-8d44-0566e4ccb2dc
[12]734dc6e8 3b4f 4358 B73d C6366dbc82a73 facts
ctx:claims/beam/734dc6e8-3b4f-4358-b73d-c6366dbc82a7
[13]7a19f848 E36c 4211 9fc3 3a825e23e5382 facts
ctx:claims/beam/7a19f848-e36c-4211-9fc3-3a825e23e538
[14]14ff5052 2d44 4e08 8aa9 69aa3c2755cc1 fact
ctx:claims/beam/14ff5052-2d44-4e08-8aa9-69aa3c2755cc
[15]4829368a E2bb 48b4 Ac12 64e357e371b71 fact
ctx:claims/beam/4829368a-e2bb-48b4-ac12-64e357e371b7

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.

name

Rdf:typein disputerdf:type

Inbound mentions (23)

hasKeyHas Key(10)

containsKeyContains Key(3)

accessesDictionaryKeyAccesses Dictionary Key(2)

expectedKeysExpected Keys(2)

hasYamlKeyHas Yaml Key(2)

accesses-keyAccesses Key(1)

containsKeysContains Keys(1)

dictionaryKeyAccessDictionary Key Access(1)

referencesKeyReferences Key(1)

Other facts (5)

Timeline

References (15)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`hasKey`Has Key(10)

`containsKey`Contains Key(3)

`accessesDictionaryKey`Accesses Dictionary Key(2)

`expectedKeys`Expected Keys(2)

`hasYamlKey`Has Yaml Key(2)

`accesses-key`Accesses Key(1)

`containsKeys`Contains Keys(1)

`dictionaryKeyAccess`Dictionary Key Access(1)

`referencesKey`References Key(1)