Triple
T22425183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rixdorf |
E554349
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Böhmisch-Rixdorf |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Böhmisch-Rixdorf | Statement: [Rixdorf, hasAlternativeName, Böhmisch-Rixdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Böhmisch-Rixdorf Context triple: [Rixdorf, hasAlternativeName, Böhmisch-Rixdorf]
-
A.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
B.
Rangsdorf
Rangsdorf is a municipality in the German state of Brandenburg, known for its lakeside setting and proximity to Berlin.
-
C.
Bohnsdorf
Bohnsdorf is a residential locality in the southeastern part of Berlin, Germany, known for its suburban character and proximity to the city’s green and lake-rich areas.
-
D.
Rixdorf
chosen
Rixdorf is a historic district in Berlin, Germany, known for its 18th-century Bohemian settlement and well-preserved village character within the modern city.
-
E.
Rüngsdorf
Rüngsdorf is a residential district in the southern part of Bonn, Germany, known for its scenic location along the Rhine and its affiliation with the Bad Godesberg borough.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2c47bc81908b8265d83fa6fb65 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.