Return Tuple
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Return Tuple has 14 facts recorded in Dontopedia across 4 references, with 3 live disagreements.
Mostly:rdf:type(4), first element(2), second element(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.
returnsTupleReturns Tuple(1)
- Process Queries in Batches
ex:process_queries_in_batches
returnsValueReturns Value(1)
- Manga Info Extraction Function
ex:manga-info-extraction-function
Other facts (14)
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 | Tuple | [1] |
| Rdf:type | Tuple | [2] |
| Rdf:type | Tuple Return | [3] |
| Rdf:type | Tuple | [4] |
| First Element | string-greeting | [2] |
| First Element | reformulated_query | [4] |
| Second Element | response_time | [2] |
| Second Element | end_time - start_time | [4] |
| Element at Index0 | Style | [1] |
| Element at Index1 | Panel Count | [1] |
| Element at Index2 | Available Styles | [1] |
| Element Count | 2 | [2] |
| Element1 | Joined String | [3] |
| Element2 | Duration Float | [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 (4)
ctx:discord/blah/omega/516- full textomega-516text/plain3 KB
doc:agent/omega-516/a9b81e6e-771b-4024-b119-1413f56481a5Show excerpt
[2025-12-04 12:11] uncloseai [bot]: I have written a Python function that takes the JSON data from the previous message as input, extracts the manga style, number of panels, and available manga styles, and returns them in a tuple format. He…
ctx:claims/beam/e528621d-a44a-42b6-af18-3830e7999bf0ctx:claims/beam/8f327b3d-bdda-4eb4-8da7-5bd63a1fcd03- full textbeam-chunktext/plain1 KB
doc:beam/8f327b3d-bdda-4eb4-8da7-5bd63a1fcd03Show excerpt
Based on the analysis, we can make targeted optimizations to improve performance. ### Example Code with Profiling Here's an example of how you can profile your code to identify the bottleneck: ```python import time import cProfile import…
ctx:claims/beam/479453f6-dab2-4d85-9f18-0cb20af42271- full textbeam-chunktext/plain1 KB
doc:beam/479453f6-dab2-4d85-9f18-0cb20af42271Show excerpt
reformulated_query = suggestions[0] else: reformulated_query = query else: reformulated_query = query end_time = time.time() return reformulated_query, end_time - start_time # Define a fu…
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.