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Evaluate Intent Precision has 100 facts recorded in Dontopedia across 5 references, with 15 live disagreements.
Mostly:has parameter(8), returns(5), rdf:type(5)
hasParametercommenthasVariabledependencycontainsCommentrelationshipcommentarycodeStructureacceptsInputhasCommentOther 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.
calledByCalled by(2)ex:apply_weights_and_generate_queryex:check_intent_matchisInputToIs Input to(2)ex:normalized_weightsex:test_queriescallsFunctionCalls Function(1)ex:code-segmentevaluatedByEvaluated by(1)ex:weight-combinationinputToInput to(1)ex:test_queriesisMeasuredByIs Measured by(1)ex:precisionisOutputOfIs Output of(1)ex:precisionoutputOfOutput of(1)ex:precisionpurposePurpose(1)ex:evaluate_intent_precisionrequiresImplementationRequires Implementation(1)ex:step-3usedInUsed in(1)ex:context_weightsThe 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.
| Predicate | Value | Ref |
|---|---|---|
| Control Structure | if check_intent_match(query, reformulated_query) | [1] |
| Control Structure | for query in test_queries | [1] |
| Operation | precision = correct_count / len(test_queries) | [1] |
| Operation | correct_count += 1 | [1] |
| Operation | return precision | [1] |
| Calls | Apply Weights and Generate Query | [1] |
| Calls | Check Intent Match | [1] |
| Rdfs:label | evaluate_intent_precision | [4] |
| Rdfs:label | evaluate_intent_precision | [1] |
| Rdfs:label | evaluate_intent_precision | [3] |
| Is Placeholder | true | [3] |
| Is Placeholder | true | [2] |
| Requires Implementation | Evaluation Logic | [2] |
| Is Incomplete | true | [2] |
| Iterates Over | Test Queries | [2] |
| Temporal Role | Evaluation Phase | [1] |
| Computational Pattern | Map Reduce | [1] |
| Nesting Level | 0 | [1] |
| Called by | Experiment | [2] |
| Code Location | Source Document | [1] |
| Inverse of | Used by Experiment | [1] |
| Computes | Precision Metric | [1] |
| Has Return Statement | Return Precision | [1] |
| Has Post Loop Calculation | Precision Calculation | [1] |
| Has Loop Variable | query | [2] |
| Has Loop Body | Loop Body Statements | [1] |
| Has Variable Initialization | Correct Count Init | [1] |
| Dependency Order | Apply Weights First Then Check | [1] |
| Algorithm | Iteration and Aggregation | [1] |
| Language | python | [1] |
| Sequence | Loop Then Calculation | [1] |
| Calls Within Conditional | Check Intent Match | [1] |
| Calls Within Loop | Apply Weights and Generate Query | [1] |
| Produces Output | Precision | [1] |
| Calculates Metric | Intent Precision | [1] |
| Used in | Experiment | [1] |
| Control Flow | For Loop | [1] |
| Example Code | true | [1] |
| Returns Value | Precision | [1] |
| Has Assignment | Reformulated Query Assignment | [1] |
| Has Conditional | Intent Match Check | [1] |
| Performs Increment | Correct Count Increment | [1] |
| Performs Assignment | Precision Assignment | [1] |
| Performs Arithmetic | Division | [1] |
| Initializes | Correct Count | [1] |
| Placeholder | true | [1] |
| Function Definition | def evaluate_intent_precision(weights, test_queries): | [1] |
| Example | true | [1] |
| Purpose | Evaluate Intent Precision | [1] |
| Code Snippet | Python Code | [1] |
| Calculates | Precision | [1] |
| Contains Loop | Query Loop | [1] |
| Needs Replacement | Actual Evaluation Logic | [1] |
| Description | evaluation function | [1] |
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.
doc:beam/da4b2af2-543c-45ec-bf7e-4898bd1b0c59For each combination of weights, evaluate the intent precision using your test queries. Replace the placeholder function with your actual evaluation logic. ### Step 4: Track the Best Combination Keep track of the best combination of weigh…
doc:beam/8c53f93c-330d-4b71-9b2a-a7c521b5200c# Evaluate the precision precision = evaluate_intent_precision(normalized_weights, test_queries) # Track the best combination if precision > best_precision: best_precision = precision best_weights = norm…
doc:beam/d307a23c-1866-4ea9-9a82-42827b961a77context_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…
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