Document ID

as donto believed on

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

Document ID is Unique identifier for the document.

25 facts·14 predicates·9 sources·2 in dispute

Mostly:rdf:type(10), property(2), assigned from(1)

Rdf:typein dispute`rdf:type`

Identifier^[1]all time · Bfbfd340 90ed 4b66 Accf 3baa0cf8bc7c
Variable^[2]all time · 819f8e92 1d81 4e3a 95ef C8cc0b0f5d32
Identifier^[3]all time · Ad78d2dd 33b2 4426 957e 2d3ef562150b
Column^[4]all time · E6e2321a 19ca 49e7 8b87 Fef46d2145a3
Parameter^[5]sourceall time · 622e90f2 3951 464a 882f 6b4a13da9193
Identifier^[6]all time · 1de97309 B316 4c01 A712 9d29c66bd526
Identifier^[7]sourceall time · 8e833b1e 3225 4105 82b4 Bbc305ab0bcf
Contextual Data^[8]sourceall time · Cbffc23d 462a 46b7 Bfa6 96ed2be167ad
Contextual Field^[9]sourceall time · Fc565dbc Fe48 45c3 Aa2a 2b021b780319
Identifier^[9]sourceall time · Fc565dbc Fe48 45c3 Aa2a 2b021b780319

Inbound mentions (14)

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.

`contains`Contains(2)

Context Infoex:context-info
Context Rich Error Logsex:context-rich-error-logs

`includes`Includes(2)

Add Contextual Informationex:add-contextual-information
Context Rich Error Logsex:context-rich-error-logs

`elementType`Element Type(1)

List of Doc Idsex:list-of-doc-ids

`filtersBy`Filters by(1)

Sql Example 1ex:sql-example-1

`hasColumn`Has Column(1)

Documents Tableex:documents-table

`hasIdentifier`Has Identifier(1)

Documentex:document

`hasPrimaryKey`Has Primary Key(1)

Documents Tableex:documents-table

`hasSubItem`Has Sub Item(1)

Contextual Informationex:contextual-information

`isIndexOn`Is Index on(1)

Document Id Indexex:document-id-index

`keyType`Key Type(1)

Dictionary Objectex:dictionary-object

`maps`Maps(1)

Doc Data Mappingex:doc-data-mapping

`uses`Uses(1)

Find Operationex:find-operation

Other facts (14)

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.

14 facts

Predicate	Value	Ref
Property	unique	[6]
Property	identifier	[6]
Assigned From	event.document['_id']	[1]
P	doc_id	[2]
Has Value	12345	[4]
Description	Unique identifier for the document	[5]
Used As	hash-key	[6]
Has Property	Non Unique	[7]
Affects	Indexing Strategy Efficacy	[7]
Is Unique Identifier for	Document	[9]
Helps Correlate	Error With Document	[9]
Has Variable Name	doc_id	[9]
Enables	Correlation	[9]
Is Code Element	true	[9]

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.

25 undated

—

typebeam/bfbfd340-90ed-4b66-accf-3baa0cf8bc7c

ex:Identifier

—

assignedFrombeam/bfbfd340-90ed-4b66-accf-3baa0cf8bc7c

event.document['_id']

—

typebeam/819f8e92-1d81-4e3a-95ef-c8cc0b0f5d32

ex:Variable

—

pbeam/819f8e92-1d81-4e3a-95ef-c8cc0b0f5d32

doc_id

—

typebeam/ad78d2dd-33b2-4426-957e-2d3ef562150b

ex:Identifier

—

typebeam/e6e2321a-19ca-49e7-8b87-fef46d2145a3

ex:column

—

hasValuebeam/e6e2321a-19ca-49e7-8b87-fef46d2145a3

12345

—

typebeam/622e90f2-3951-464a-882f-6b4a13da9193

ex:Parameter

—

descriptionbeam/622e90f2-3951-464a-882f-6b4a13da9193

Unique identifier for the document

—

typebeam/1de97309-b316-4c01-a712-9d29c66bd526

ex:Identifier

—

propertybeam/1de97309-b316-4c01-a712-9d29c66bd526

unique

—

propertybeam/1de97309-b316-4c01-a712-9d29c66bd526

identifier

—

usedAsbeam/1de97309-b316-4c01-a712-9d29c66bd526

hash-key

—

typebeam/8e833b1e-3225-4105-82b4-bbc305ab0bcf

ex:identifier

—

has-propertybeam/8e833b1e-3225-4105-82b4-bbc305ab0bcf

ex:non-unique

—

affectsbeam/8e833b1e-3225-4105-82b4-bbc305ab0bcf

ex:indexing-strategy-efficacy

—

typebeam/cbffc23d-462a-46b7-bfa6-96ed2be167ad

ex:contextual-data

—

typebeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

ex:ContextualField

—

labelbeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

Document ID

—

isUniqueIdentifierForbeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

ex:document

—

helpsCorrelatebeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

ex:error-with-document

—

typebeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

ex:Identifier

—

hasVariableNamebeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

doc_id

—

enablesbeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

ex:correlation

—

isCodeElementbeam/fc565dbc-fe48-45c3-aa2a-2b021b780319

true

References (9)

9 references

[1]Bfbfd340 90ed 4b66 Accf 3baa0cf8bc7c2 facts
ctx:claims/beam/bfbfd340-90ed-4b66-accf-3baa0cf8bc7c
- full textbeam-chunk
  text/plain1 KBdoc:beam/bfbfd340-90ed-4b66-accf-3baa0cf8bc7c
  Show excerpt
  vector_collection = Collection("rag_vectors", schema) # Insert documents into MongoDB documents = df.to_dict(orient='records') document_collection.insert_many(documents) # Insert vectors into Milvus vectors = df[['id', 'vector']].values.t…
[2]819f8e92 1d81 4e3a 95ef C8cc0b0f5d322 facts
ctx:claims/beam/819f8e92-1d81-4e3a-95ef-c8cc0b0f5d32
- full textbeam-chunk
  text/plain982 Bdoc:beam/819f8e92-1d81-4e3a-95ef-c8cc0b0f5d32
  Show excerpt
  # Document exists but vector does not document = document_collection.find_one({'_id': doc_id}) vector_collection.insert([[doc_id, document['vector']]]) for vec_id in vector_ids: if vec_id…
[3]Ad78d2dd 33b2 4426 957e 2d3ef562150b1 fact
ctx:claims/beam/ad78d2dd-33b2-4426-957e-2d3ef562150b
[4]E6e2321a 19ca 49e7 8b87 Fef46d2145a32 facts
ctx:claims/beam/e6e2321a-19ca-49e7-8b87-fef46d2145a3
- full textbeam-chunk
  text/plain1 KBdoc:beam/e6e2321a-19ca-49e7-8b87-fef46d2145a3
  Show excerpt
  1. **Query Execution Time**: Even with proper indexing, the query execution time might still be high due to other factors. 2. **Network Latency**: The time taken for the query to travel over the network can contribute significantly to laten…
[5]622e90f2 3951 464a 882f 6b4a13da91932 facts
ctx:claims/beam/622e90f2-3951-464a-882f-6b4a13da9193
- full textbeam-chunk
  text/plain1 KBdoc:beam/622e90f2-3951-464a-882f-6b4a13da9193
  Show excerpt
  redis_client.set(f'document:{document_id}', document_json) def get_cached_document(document_id): """ Retrieve a cached document from Redis. :param document_id: Unique identifier for the document. :return: Cached documen…
[6]1de97309 B316 4c01 A712 9d29c66bd5264 facts
ctx:claims/beam/1de97309-b316-4c01-a712-9d29c66bd526
- full textbeam-chunk
  text/plain1 KBdoc:beam/1de97309-b316-4c01-a712-9d29c66bd526
  Show excerpt
  Below is an example of how you can integrate Redis into your system to cache your documentation data using a Redis hash. We'll use Python and the `redis-py` library to demonstrate this. ### Step 1: Install Redis and the `redis-py` Library …
[7]8e833b1e 3225 4105 82b4 Bbc305ab0bcf3 facts
ctx:claims/beam/8e833b1e-3225-4105-82b4-bbc305ab0bcf
- full textbeam-chunk
  text/plain1 KBdoc:beam/8e833b1e-3225-4105-82b4-bbc305ab0bcf
  Show excerpt
  By following these steps, you can ensure that your indexing strategy is optimized for performance even when `document_id` is not unique. This will help improve query performance and reduce latency in your documentation retrieval system. [T…
[8]Cbffc23d 462a 46b7 Bfa6 96ed2be167ad1 fact
ctx:claims/beam/cbffc23d-462a-46b7-bfa6-96ed2be167ad
- full textbeam-chunk
  text/plain1 KBdoc:beam/cbffc23d-462a-46b7-bfa6-96ed2be167ad
  Show excerpt
  [Turn 9725] Assistant: Certainly! To effectively debug the "DocFormatError" issues that are impacting 3% of documentation saves with 400 status codes, you need to gather more detailed information about the errors and the conditions under wh…
[9]Fc565dbc Fe48 45c3 Aa2a 2b021b7803198 facts
ctx:claims/beam/fc565dbc-fe48-45c3-aa2a-2b021b780319
- full textbeam-chunk
  text/plain1 KBdoc:beam/fc565dbc-fe48-45c3-aa2a-2b021b780319
  Show excerpt
  [Turn 9726] User: hmm, what specific details should I look for in the logs to identify the root cause? [Turn 9727] Assistant: To identify the root cause of the "DocFormatError" issues, you should look for specific details in the logs that …

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Document ID

Rdf:typein disputerdf:type

Inbound mentions (14)

containsContains(2)

includesIncludes(2)

elementTypeElement Type(1)

filtersByFilters by(1)

hasColumnHas Column(1)

hasIdentifierHas Identifier(1)

hasPrimaryKeyHas Primary Key(1)

hasSubItemHas Sub Item(1)

isIndexOnIs Index on(1)

keyTypeKey Type(1)

mapsMaps(1)

usesUses(1)

Other facts (14)

Timeline

References (9)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`contains`Contains(2)

`includes`Includes(2)

`elementType`Element Type(1)

`filtersBy`Filters by(1)

`hasColumn`Has Column(1)

`hasIdentifier`Has Identifier(1)

`hasPrimaryKey`Has Primary Key(1)

`hasSubItem`Has Sub Item(1)

`isIndexOn`Is Index on(1)

`keyType`Key Type(1)

`maps`Maps(1)

`uses`Uses(1)