String Inputs
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
String Inputs has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
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.
appliesToApplies to(1)
- Length Constraints
ex:length-constraints
handlesHandles(1)
- Detect Intent Misinterpretation
ex:detect_intent_misinterpretation
Other facts (2)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Data Type | [1] |
| Rdf:type | Input Type | [2] |
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.
References (2)
ctx:claims/beam/b9f933e3-a759-4c73-a5d8-86b674e192b1- full textbeam-chunktext/plain1 KB
doc:beam/b9f933e3-a759-4c73-a5d8-86b674e192b1Show excerpt
print("Context is valid") except ValueError as e: print(f"Invalid context: {e}") ``` Can someone help me improve this validation logic to ensure that our LLM queries are properly sanitized? ->-> 4,14 [Turn 2507] Assistant: Certainl…
ctx:claims/beam/d2727434-0400-42aa-8f6a-14f7ca941043- full textbeam-chunktext/plain1 KB
doc:beam/d2727434-0400-42aa-8f6a-14f7ca941043Show excerpt
if similarity_score < similarity_threshold: logging.info(f"Intent misinterpretation detected: Query='{query}', Reformulated Query='{reformulated_query}', Similarity Score={similarity_score}") return True return False…
See also
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