What is the capital of Germany?
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
What is the capital of Germany? has 26 facts recorded in Dontopedia across 6 references, with 2 live disagreements.
26 facts·14 predicates·6 sources·2 in dispute
Mostly:rdf:type(8), contains special characters(2), sent at(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (11)
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.
containsElementContains Element(3)
- List of Queries
ex:list-of-queries - Queries Variable
ex:queries-variable - Query List
ex:query-list
containsStringContains String(1)
- Queries Variable
ex:queries-variable
expectsPythonOutputExpects Python Output(1)
- Foxhop
ex:foxhop
hasElementHas Element(1)
- Queries Variable
ex:queries-variable
hasQueryHas Query(1)
- Second Test Case
ex:second-test-case
isSimilarToIs Similar to(1)
- First Query
ex:first-query
precedesPrecedes(1)
- First Query
ex:first-query
repliedToReplied to(1)
- Uncloseai Bot
ex:uncloseai-bot
sentMessageSent Message(1)
- Foxhop
ex:foxhop
Other facts (22)
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.
22 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Query | [2] |
| Rdf:type | String | [3] |
| Rdf:type | Special Character Query | [3] |
| Rdf:type | Query | [4] |
| Rdf:type | String | [4] |
| Rdf:type | String | [5] |
| Rdf:type | String | [6] |
| Rdf:type | Question | [6] |
| Contains Special Characters | Special Chars | [3] |
| Contains Special Characters | Special Chars | [4] |
| Sent at | 2025-12-01 17:14 | [1] |
| Specifies Period | 20 years | [1] |
| Contains Text | use python to calculate the present value of receiving $7,000 annually for 20 years at 5% discount rate. | [1] |
| Specifies Discount Rate | 5% | [1] |
| Escalated to | explicit python use | [1] |
| Specifies Annuity Amount | $7,000 | [1] |
| Specified Tool Use | python | [1] |
| Mentions Bot | Bot Mention | [1] |
| Prompted Error Handling | Syntax Error | [1] |
| Has Context | Second Context | [2] |
| Contains Whitespace | true | [3] |
| Is Element of | Queries Variable | [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.
—
sentAtblah/unturf/part-8
2025-12-01 17:14
—
specifiesPeriodblah/unturf/part-8
20 years
—
containsTextblah/unturf/part-8
use python to calculate the present value of receiving $7,000 annually for 20 years at 5% discount rate.
—
specifiesDiscountRateblah/unturf/part-8
5%
—
escalatedToblah/unturf/part-8
explicit python use
—
specifiesAnnuityAmountblah/unturf/part-8
$7,000
—
specifiedToolUseblah/unturf/part-8
python
—
mentionsBotblah/unturf/part-8
ex:bot-mention
—
promptedErrorHandlingblah/unturf/part-8
ex:syntax-error
—
typebeam/887c4e7a-78dc-42d6-b760-ab0114e4d28f
ex:Query
—
labelbeam/887c4e7a-78dc-42d6-b760-ab0114e4d28f
Can you explain the retrieval mechanism?
—
hasContextbeam/887c4e7a-78dc-42d6-b760-ab0114e4d28f
ex:second-context
—
typebeam/7032b876-1fd3-45e3-9cf6-5ab1c78bd4dc
ex:String
—
containsSpecialCharactersbeam/7032b876-1fd3-45e3-9cf6-5ab1c78bd4dc
ex:special-chars
—
containsWhitespacebeam/7032b876-1fd3-45e3-9cf6-5ab1c78bd4dc
true
—
typebeam/7032b876-1fd3-45e3-9cf6-5ab1c78bd4dc
ex:SpecialCharacterQuery
—
isElementOfbeam/7032b876-1fd3-45e3-9cf6-5ab1c78bd4dc
ex:queries-variable
—
typebeam/c1626737-7e0a-491b-84e8-24066a471a8a
ex:Query
—
typebeam/c1626737-7e0a-491b-84e8-24066a471a8a
ex:String
—
containsSpecialCharactersbeam/c1626737-7e0a-491b-84e8-24066a471a8a
ex:special-chars
—
labelbeam/c1626737-7e0a-491b-84e8-24066a471a8a
Another query with special characters !@#$
—
typebeam/7194b30d-2610-4c0a-ab28-89f65f718d7c
ex:String
—
labelbeam/7194b30d-2610-4c0a-ab28-89f65f718d7c
Who is the president of the United States?
—
typebeam/2cbdcf90-9d21-4bed-aea6-acf4a8366428
ex:String
—
labelbeam/2cbdcf90-9d21-4bed-aea6-acf4a8366428
What is the capital of Germany?
—
typebeam/2cbdcf90-9d21-4bed-aea6-acf4a8366428
ex:Question
References (6)
6 references
ctx:discord/blah/unturf/part-8ctx:claims/beam/887c4e7a-78dc-42d6-b760-ab0114e4d28f- full textbeam-chunktext/plain1 KB
doc:beam/887c4e7a-78dc-42d6-b760-ab0114e4d28fShow excerpt
{"query": "What are the best practices for RAG systems?", "context": "Previous query was about performance optimization."}, {"query": "Can you explain the retrieval mechanism?", "context": "Previous query was about context-aware ret…
ctx:claims/beam/7032b876-1fd3-45e3-9cf6-5ab1c78bd4dc- full textbeam-chunktext/plain1 KB
doc:beam/7032b876-1fd3-45e3-9cf6-5ab1c78bd4dcShow excerpt
# Remove special characters token = re.sub(r'[^a-zA-Z0-9]', '', token) processed_tokens.append(token) return processed_tokens # Test the function queries = ["This is a test query", "Another query with speci…
ctx:claims/beam/c1626737-7e0a-491b-84e8-24066a471a8a- full textbeam-chunktext/plain1 KB
doc:beam/c1626737-7e0a-491b-84e8-24066a471a8aShow excerpt
queries = ["This is a test query", "Another query with special characters !@#$"] for query in queries: print(parse_query(query)) ``` How can I design a modular architecture for the query preprocessing service to ensure scalability and e…
ctx:claims/beam/7194b30d-2610-4c0a-ab28-89f65f718d7c- full textbeam-chunktext/plain1 KB
doc:beam/7194b30d-2610-4c0a-ab28-89f65f718d7cShow excerpt
def __init__(self): self.model = ReformulationModel() def process_queries(self, queries, batch_size=100, max_workers=10): with ThreadPoolExecutor(max_workers=max_workers) as executor: futures = [executor…
ctx:claims/beam/2cbdcf90-9d21-4bed-aea6-acf4a8366428- full textbeam-chunktext/plain1 KB
doc:beam/2cbdcf90-9d21-4bed-aea6-acf4a8366428Show excerpt
futures = [executor.submit(self.model.batch_reformulate, queries[i:i+batch_size]) for i in range(0, len(queries), batch_size)] results = [] for future in as_completed(futures): results.ext…
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