Proceed With Steps
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Proceed With Steps has 5 facts recorded in Dontopedia across 3 references, with 2 live disagreements.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
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.
askedUserToConfirmAsked User to Confirm(1)
- Turn 10571
ex:turn-10571
asksAboutAsks About(1)
- Question at End
ex:question-at-end
asksAboutStepsAsks About Steps(1)
- Assistant
ex:assistant
asksForConfirmationAsks for Confirmation(1)
- Model Optimization Guide
ex:model-optimization-guide
hasOptionHas Option(1)
- Proceed or Questions Question
ex:proceed-or-questions-question
offersActionOffers Action(1)
- Assistant Response
ex:assistant-response
offersChoiceOffers Choice(1)
- Conditional Question
ex:conditional-question
offersGuidanceOffers Guidance(1)
- Assistant Response
ex:assistant-response
offersOptionsOffers Options(1)
- Preliminary Question
ex:preliminary-question
Other facts (3)
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 | Response Option | [1] |
| Rdf:type | Option | [2] |
| Rdf:type | Proposed Action | [3] |
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 (3)
ctx:claims/beam/915ce799-eacd-4299-8ad8-b2846835756cctx:claims/beam/1fe877a9-4ca1-49fc-b634-99f9333d9102ctx:claims/beam/b1c43907-80fa-4804-9f16-0edd887a0129- full textbeam-chunktext/plain1 KB
doc:beam/b1c43907-80fa-4804-9f16-0edd887a0129Show excerpt
# Calculate the BLEU score references = outputs.tolist() hypotheses = reformulated_outputs bleu_scores = [] for ref, hyp in zip(references, hypotheses): bleu_scores.append(sentence_bleu([ref.split()], hyp.split())) bleu_score = sum(b…
See also
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