Continuationmarker
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Continuationmarker has 2 facts recorded in Dontopedia across 2 references.
2 facts·2 predicates·2 sources
Maturity scale
raw canonical shape-checked rule-derived certifiedOther 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.
2 facts
| Predicate | Value | Ref |
|---|---|---|
| Implies | Prior Discussion | [1] |
| Rdf:type | Code Placeholder | [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.
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impliesbeam/36d04fe6-9cbd-4f6e-a1a9-60978a144580
ex:prior-discussion
—
typebeam/869acbd5-0cda-40b0-94b3-06d5699021f2
ex:code-placeholder
References (2)
2 references
ctx:claims/beam/36d04fe6-9cbd-4f6e-a1a9-60978a144580- full textbeam-chunktext/plain1 KB
doc:beam/36d04fe6-9cbd-4f6e-a1a9-60978a144580Show excerpt
Also, I'll definitely add more logging and start profiling the middleware layers to identify any bottlenecks. Thanks again for the guidance! [Turn 5325] Assistant: Great to hear that you're taking steps to optimize your middleware layers! …
ctx:claims/beam/869acbd5-0cda-40b0-94b3-06d5699021f2- full textbeam-chunktext/plain1 KB
doc:beam/869acbd5-0cda-40b0-94b3-06d5699021f2Show excerpt
elif term.endswith("ed"): return [term[:-2] + "ing"] # WordNet approach synonyms = set() for syn in wn.synsets(term): for lemma in syn.lemmas(): synonyms.add(lemma.name()) # NLP appr…
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