Context Weights

as donto believed on

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

Context Weights has 44 facts recorded in Dontopedia across 8 references, with 8 live disagreements.

44 facts·19 predicates·8 sources·8 in dispute

Mostly:rdf:type(8), has key(8), has component(4)

Inbound mentions (8)

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.

`appliedTo`Applied to(2)

Systematic Tuningex:systematic-tuning
Tuningex:tuning

`computedFrom`Computed From(1)

Normalized Weightsex:normalized-weights

`experimentingWith`Experimenting With(1)

User 10470ex:user-10470

`hasVariable`Has Variable(1)

Code Segmentex:code-segment

`mapsTo`Maps to(1)

Comboex:combo

`mentionsIssue`Mentions Issue(1)

Diagnostic Sectionex:diagnostic-section

`mightNotBeOptimized`Might Not Be Optimized(1)

Context Weightsex:context-weights

Other facts (42)

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.

42 facts

Predicate	Value	Ref
Rdf:type	Dictionary	[1]
Rdf:type	Parameter	[2]
Rdf:type	Dictionary	[3]
Rdf:type	Dictionary	[4]
Rdf:type	Hyperparameter	[5]
Rdf:type	Potential Cause	[6]
Rdf:type	Configuration Parameter	[7]
Rdf:type	Parameter	[8]
Has Key	user_history	[1]
Has Key	current_query	[1]
Has Key	system_state	[3]
Has Key	external_data_sources	[3]
Has Key	user_history	[4]
Has Key	current_query	[4]
Has Key	system_state	[4]
Has Key	external_data_sources	[4]
Has Component	User History	[1]
Has Component	Current Query	[1]
Has Component	System State	[1]
Has Component	External Data Sources	[1]
Has Value	User History Weight	[4]
Has Value	Current Query Weight	[4]
Has Value	System State Weight	[4]
Has Value	External Data Sources Weight	[4]
Assigned Value	Combo Index 2	[3]
Assigned Value	Combo Index 3	[3]
Has Member	System State Key	[3]
Has Member	External Data Sources Key	[3]
Requires Optimization	Grid Search	[7]
Requires Optimization	Bayesian Optimization	[7]
Is Being Experimented With	User 10470	[2]
Needs Definition	Step 1	[2]
Has Key Type	String Key	[3]
Has Initialization	Combo Index Access	[3]
Replaced by	Normalized Weights	[3]
Total Sum	1	[4]
Initialized With	Initial Values	[4]
Belongs to	LLM prompts	[5]
Status	Tweaked	[6]
Reported Status	Tweaked	[6]
Might Not Be Optimized	Context Weights	[6]
User Action	Tweaked	[6]

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.

44 undated

—

typebeam/c8578409-db7a-4511-babf-7af22c569322

ex:Dictionary

—

hasComponentbeam/c8578409-db7a-4511-babf-7af22c569322

ex:user-history

—

hasComponentbeam/c8578409-db7a-4511-babf-7af22c569322

ex:current-query

—

hasComponentbeam/c8578409-db7a-4511-babf-7af22c569322

ex:system-state

—

hasComponentbeam/c8578409-db7a-4511-babf-7af22c569322

ex:external-data-sources

—

hasKeybeam/c8578409-db7a-4511-babf-7af22c569322

user_history

—

hasKeybeam/c8578409-db7a-4511-babf-7af22c569322

current_query

—

typebeam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75

ex:Parameter

—

isBeingExperimentedWithbeam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75

ex:user-10470

—

needsDefinitionbeam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75

ex:step-1

—

typebeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:Dictionary

—

hasKeybeam/d307a23c-1866-4ea9-9a82-42827b961a77

system_state

—

hasKeybeam/d307a23c-1866-4ea9-9a82-42827b961a77

external_data_sources

—

assignedValuebeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:combo-index-2

—

assignedValuebeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:combo-index-3

—

hasMemberbeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:system-state-key

—

hasMemberbeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:external-data-sources-key

—

hasKeyTypebeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:string-key

—

hasInitializationbeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:combo-index-access

—

replacedBybeam/d307a23c-1866-4ea9-9a82-42827b961a77

ex:normalized-weights

—

typebeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

ex:Dictionary

—

hasValuebeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

ex:user-history-weight

—

hasValuebeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

ex:current-query-weight

—

hasValuebeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

ex:system-state-weight

—

hasValuebeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

ex:external-data-sources-weight

—

hasKeybeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

user_history

—

hasKeybeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

current_query

—

hasKeybeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

system_state

—

hasKeybeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

external_data_sources

—

labelbeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

Context Weights Dictionary

—

totalSumbeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

—

initializedWithbeam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57

ex:initial-values

—

typebeam/3acb315d-db31-407c-9201-2e0d7abbe4d1

ex:Hyperparameter

—

belongs tobeam/3acb315d-db31-407c-9201-2e0d7abbe4d1

LLM prompts

—

typebeam/3c9a494b-34ac-43aa-8969-31548b6f9db4

ex:PotentialCause

—

statusbeam/3c9a494b-34ac-43aa-8969-31548b6f9db4

ex:tweaked

—

typebeam/c3930930-58ad-404d-879e-6280fbe5dd16

ex:ConfigurationParameter

—

reportedStatusbeam/3c9a494b-34ac-43aa-8969-31548b6f9db4

ex:tweaked

—

requiresOptimizationbeam/c3930930-58ad-404d-879e-6280fbe5dd16

ex:grid-search

—

requiresOptimizationbeam/c3930930-58ad-404d-879e-6280fbe5dd16

ex:bayesian-optimization

—

mightNotBeOptimizedbeam/3c9a494b-34ac-43aa-8969-31548b6f9db4

ex:context-weights

—

userActionbeam/3c9a494b-34ac-43aa-8969-31548b6f9db4

ex:tweaked

—

typebeam/ce00563e-e1f2-4d44-9f0b-129b7d9b122f

ex:Parameter

—

labelbeam/ce00563e-e1f2-4d44-9f0b-129b7d9b122f

Context Weights

References (8)

8 references

[1]C8578409 Db7a 4511 Babf 7af22c5693227 facts
ctx:claims/beam/c8578409-db7a-4511-babf-7af22c569322
- full textbeam-chunk
  text/plain1 KBdoc:beam/c8578409-db7a-4511-babf-7af22c569322
  Show excerpt
  For each combination of weights, evaluate the performance using your test queries and measure the intent precision. ### Example Implementation Here's an example of how you might structure your experiments: ```python import itertools impo…
[2]C0dac4b7 A8bf 4fc4 B8c0 172938ac7e753 facts
ctx:claims/beam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75
- full textbeam-chunk
  text/plain1 KBdoc:beam/c0dac4b7-a8bf-4fc4-b8c0-172938ac7e75
  Show excerpt
  [Turn 10470] User: I'm trying to optimize the intent precision of my LLM prompts, and I've been experimenting with different context weights. Currently, I'm achieving 88% intent precision on 2,500 test queries, but I want to improve it furt…
[3]D307a23c 1866 4ea9 9a82 42827b961a7710 facts
ctx:claims/beam/d307a23c-1866-4ea9-9a82-42827b961a77
- full textbeam-chunk
  text/plain1 KBdoc:beam/d307a23c-1866-4ea9-9a82-42827b961a77
  Show excerpt
  context_weights['system_state'] = combo[2] context_weights['external_data_sources'] = combo[3] # Ensure the sum of weights equals 1 total_weight = sum(context_weights.values()) normalized_weights = {k: v / total_wei…
[4]A71afa78 3ac4 4931 987f Ad0a5b6a3f5712 facts
ctx:claims/beam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57
- full textbeam-chunk
  text/plain1 KBdoc:beam/a71afa78-3ac4-4931-987f-ad0a5b6a3f57
  Show excerpt
  Identify the different components of your context and assign initial weights. For example: - `user_history` - `current_query` - `system_state` - `external_data_sources` ### Step 2: Generate Weight Combinations Use a systematic approach t…
[5]3acb315d Db31 407c 9201 2e0d7abbe4d12 facts
ctx:claims/beam/3acb315d-db31-407c-9201-2e0d7abbe4d1
[6]3c9a494b 34ac 43aa 8969 31548b6f9db45 facts
ctx:claims/beam/3c9a494b-34ac-43aa-8969-31548b6f9db4
- full textbeam-chunk
  text/plain1 KBdoc:beam/3c9a494b-34ac-43aa-8969-31548b6f9db4
  Show excerpt
  # Perform some analysis on the data (e.g., calculate statistics) stats = data.describe() return stats # Test the function stats = analyze_data(data) print("Data statistics:", stats) ``` ->-> 4,10 [Turn 10489] Assistant: Certai…
[7]C3930930 58ad 404d 879e 6280fbe5dd163 facts
ctx:claims/beam/c3930930-58ad-404d-879e-6280fbe5dd16
- full textbeam-chunk
  text/plain1 KBdoc:beam/c3930930-58ad-404d-879e-6280fbe5dd16
  Show excerpt
  Here's an example of how you might analyze the data: ```python import pandas as pd # Load the data data = pd.read_csv("data.csv") # Define a function to analyze the data def analyze_data(data): # Perform some analysis on the data (e.…
[8]Ce00563e E1f2 4d44 9f0b 129b7d9b122f2 facts
ctx:claims/beam/ce00563e-e1f2-4d44-9f0b-129b7d9b122f

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.

Context Weights

Inbound mentions (8)

appliedToApplied to(2)

computedFromComputed From(1)

experimentingWithExperimenting With(1)

hasVariableHas Variable(1)

mapsToMaps to(1)

mentionsIssueMentions Issue(1)

mightNotBeOptimizedMight Not Be Optimized(1)

Other facts (42)

Timeline

References (8)

See also

Keep researching

`appliedTo`Applied to(2)

`computedFrom`Computed From(1)

`experimentingWith`Experimenting With(1)

`hasVariable`Has Variable(1)

`mapsTo`Maps to(1)

`mentionsIssue`Mentions Issue(1)

`mightNotBeOptimized`Might Not Be Optimized(1)