Triple
T16079725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostprignitz-Ruppin |
E390073
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Rheinsberg |
E1097719
|
NE FINISHED |
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: Rheinsberg | Statement: [Ostprignitz-Ruppin, containsSettlement, Rheinsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rheinsberg Context triple: [Ostprignitz-Ruppin, containsSettlement, Rheinsberg]
-
A.
Rheinsberg
chosen
Rheinsberg is a small historic town in Brandenburg, Germany, best known for its picturesque lakeside palace that served as a residence for Prussian royalty.
-
B.
Wedemark
Wedemark is a municipality in Lower Saxony, Germany, located north of Hanover and known for its semi-rural character and commuter links to the city.
-
C.
Nauen
Nauen is a historic town in the Havelland district of Brandenburg, Germany, known for its early radio transmission station and agricultural surroundings.
-
D.
Falkensee
Falkensee is a town in the Havelland district of Brandenburg, Germany, situated just west of Berlin and functioning largely as a residential suburb of the capital.
-
E.
Jüterbog
Jüterbog is a historic town in the German state of Brandenburg, known for its medieval architecture and long-standing cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18448bebc8190b0e84b1da097bf8b |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005809cbf08190b35f2c820793163c |
completed | May 10, 2026, 10:03 a.m. |
Created at: April 10, 2026, 4:57 a.m.