process_text_pipeline
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
process_text_pipeline has 13 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.
Mostly:return type(2), rdf:type(1), parameter(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
assignedByAssigned by(1)
- Results Variable
ex:results-variable
calledBeforeCalled Before(1)
- Tokenize Text Function
ex:tokenize-text-function
calledByCalled by(1)
- Tokenize Text Function
ex:tokenize-text-function
containsContains(1)
- Main Code Block
ex:main-code-block
Other facts (12)
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 |
|---|---|---|
| Return Type | list | [1] |
| Return Type | list-of-tokens | [1] |
| Rdf:type | Function | [1] |
| Parameter | texts | [1] |
| Contains Loop | Texts Loop | [1] |
| Contains Except Block | Pipeline Except Block | [1] |
| Calls Function | Tokenize Text Function | [1] |
| Returns on Success | results | [1] |
| Called Before | Print Statement | [1] |
| Has Return Statement | Return Results | [1] |
| Encloses | For Loop | [1] |
| Processes | multiple-texts | [1] |
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 (1)
ctx:claims/beam/80fec442-58d4-4a91-973a-5fde191c5879- full textbeam-chunktext/plain1 KB
doc:beam/80fec442-58d4-4a91-973a-5fde191c5879Show excerpt
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') # Load spaCy model nlp = spacy.load('en_core_web_sm') def tokenize_text(text): try: doc = nlp(text) tokens = [token.text for t…
See also
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