Evaluate Intent Precision
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Evaluate Intent Precision has 25 facts recorded in Dontopedia across 4 references, with 6 live disagreements.
25 facts·16 predicates·4 sources·6 in dispute
Mostly:rdf:type(4), returns(2), parameter(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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.
hasObjectiveHas Objective(1)
- Step 3
ex:step-3
passedToPassed to(1)
- Normalized Weights
ex:normalized-weights
Other facts (25)
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.
25 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Function | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Evaluation Task | [3] |
| Rdf:type | Function | [4] |
| Returns | Precision | [1] |
| Returns | Precision | [4] |
| Parameter | Weights | [4] |
| Parameter | Test Queries | [4] |
| Calls | Apply Weights and Generate Query | [4] |
| Calls | Check Intent Match | [4] |
| Contains | For Loop | [4] |
| Contains | Conditional Check | [4] |
| Has Variable | Correct Count | [4] |
| Has Variable | Precision | [4] |
| Has Control Structure | For Loop | [4] |
| Has Control Structure | If Statement | [4] |
| Has Parameter | Weights | [1] |
| Placeholder Value | 0.9 | [1] |
| Purpose | evaluate intent precision | [1] |
| Implementation Note | Replace this with your actual evaluation logic | [1] |
| Takes Parameter | Normalized Weights | [2] |
| Is Placeholder | true | [2] |
| Logic | correct_count / len(test_queries) | [4] |
| Contains Comment | Check if the reformulated query matches the expected intent | [4] |
| Function Signature | def evaluate_intent_precision(weights, test_queries): | [4] |
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.
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typebeam/c8578409-db7a-4511-babf-7af22c569322
ex:Function
—
hasParameterbeam/c8578409-db7a-4511-babf-7af22c569322
ex:weights
—
returnsbeam/c8578409-db7a-4511-babf-7af22c569322
ex:precision
—
placeholderValuebeam/c8578409-db7a-4511-babf-7af22c569322
0.9
—
purposebeam/c8578409-db7a-4511-babf-7af22c569322
evaluate intent precision
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implementationNotebeam/c8578409-db7a-4511-babf-7af22c569322
Replace this with your actual evaluation logic
—
typebeam/d307a23c-1866-4ea9-9a82-42827b961a77
ex:Function
—
takesParameterbeam/d307a23c-1866-4ea9-9a82-42827b961a77
ex:normalized-weights
—
isPlaceholderbeam/d307a23c-1866-4ea9-9a82-42827b961a77
true
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typebeam/17359c4f-ce82-472f-b0cd-20671ade934f
ex:EvaluationTask
—
typebeam/11402421-e0dd-4257-81f5-18735667d931
ex:Function
—
parameterbeam/11402421-e0dd-4257-81f5-18735667d931
ex:weights
—
parameterbeam/11402421-e0dd-4257-81f5-18735667d931
ex:test-queries
—
returnsbeam/11402421-e0dd-4257-81f5-18735667d931
ex:precision
—
logicbeam/11402421-e0dd-4257-81f5-18735667d931
correct_count / len(test_queries)
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callsbeam/11402421-e0dd-4257-81f5-18735667d931
ex:apply-weights-and-generate-query
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callsbeam/11402421-e0dd-4257-81f5-18735667d931
ex:check-intent-match
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containsbeam/11402421-e0dd-4257-81f5-18735667d931
ex:for-loop
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containsbeam/11402421-e0dd-4257-81f5-18735667d931
ex:conditional-check
—
contains-commentbeam/11402421-e0dd-4257-81f5-18735667d931
Check if the reformulated query matches the expected intent
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functionSignaturebeam/11402421-e0dd-4257-81f5-18735667d931
def evaluate_intent_precision(weights, test_queries):
—
hasVariablebeam/11402421-e0dd-4257-81f5-18735667d931
ex:correct-count
—
hasVariablebeam/11402421-e0dd-4257-81f5-18735667d931
ex:precision
—
hasControlStructurebeam/11402421-e0dd-4257-81f5-18735667d931
ex:for-loop
—
hasControlStructurebeam/11402421-e0dd-4257-81f5-18735667d931
ex:if-statement
References (4)
4 references
ctx:claims/beam/c8578409-db7a-4511-babf-7af22c569322- full textbeam-chunktext/plain1 KB
doc:beam/c8578409-db7a-4511-babf-7af22c569322Show 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…
ctx:claims/beam/d307a23c-1866-4ea9-9a82-42827b961a77- full textbeam-chunktext/plain1 KB
doc:beam/d307a23c-1866-4ea9-9a82-42827b961a77Show 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…
ctx:claims/beam/17359c4f-ce82-472f-b0cd-20671ade934f- full textbeam-chunktext/plain1 KB
doc:beam/17359c4f-ce82-472f-b0cd-20671ade934fShow excerpt
``` Replace the placeholder functions with your actual logic to evaluate the intent precision. Would you like to proceed with these steps or do you have any specific questions about any part of the process? [Turn 10474] User: Sure, let's…
ctx:claims/beam/11402421-e0dd-4257-81f5-18735667d931- full textbeam-chunktext/plain1 KB
doc:beam/11402421-e0dd-4257-81f5-18735667d931Show excerpt
2. **Refine the Search**: If the initial search does not yield significant improvements, consider narrowing down the range or using more sophisticated optimization techniques. 3. **Validate Results**: Validate the results on a separate vali…
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