Suffix Regex

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)

Suffix Regex has 3 facts recorded in Dontopedia across 1 reference.

3 facts·3 predicates·1 sources

Inbound mentions (1)

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.

`configuredWith`Configured With(1)

Custom Tokenizerex:custom-tokenizer

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.

3 facts

Predicate	Value	Ref
Value	r'[\]\)"\']$'	[1]
Matches	closing brackets and quotes	[1]
Matches at End	true	[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.

3 undated

—

valuebeam/92244a54-f60e-4ad8-a24d-0d7d5323814b

r'[\]\)"\']$'

—

matchesbeam/92244a54-f60e-4ad8-a24d-0d7d5323814b

closing brackets and quotes

—

matchesAtEndbeam/92244a54-f60e-4ad8-a24d-0d7d5323814b

true

References (1)

1 references

[1]92244a54 F60e 4ad8 A24d 0d7d5323814b3 facts
ctx:claims/beam/92244a54-f60e-4ad8-a24d-0d7d5323814b
- full textbeam-chunk
  text/plain1 KBdoc:beam/92244a54-f60e-4ad8-a24d-0d7d5323814b
  Show excerpt
  First, ensure you have spaCy installed and download the language model you want to use. For English, you can use the `en_core_web_sm` model. ```bash pip install spacy python -m spacy download en_core_web_sm ``` ### Step 2: Import spaCy an…

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.