Dataframe Column Extraction
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Dataframe Column Extraction has 2 facts recorded in Dontopedia across 1 reference.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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.
usesUses(1)
- Insert Vectors
ex:insert-vectors
Other 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.
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/92f9d4b6-659a-439c-ae2a-0330d3d8ab30- full textbeam-chunktext/plain1 KB
doc:beam/92f9d4b6-659a-439c-ae2a-0330d3d8ab30Show excerpt
'vector': [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6], [0.7, 0.8, 0.9]] } # Create a DataFrame to store the data df = pd.DataFrame(data) # Connect to MongoDB client = MongoClient('mongodb://localhost:27017/') db = client['rag_db'] collection = …
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