Triple
T5569522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezirk Potsdam |
E145962
|
entity |
| Predicate | includedKreis |
P11790
|
FINISHED |
| Object | Kreis Zossen |
E434008
|
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: Kreis Zossen | Statement: [Bezirk Potsdam, includedKreis, Kreis Zossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kreis Zossen Context triple: [Bezirk Potsdam, includedKreis, Kreis Zossen]
-
A.
Kreis Belzig
Kreis Belzig was a former rural district in the German Democratic Republic, located in the Potsdam region of the state of Brandenburg.
-
B.
Bezirk Potsdam
Bezirk Potsdam was an administrative district in the former East Germany, centered on the city of Potsdam and encompassing parts of the surrounding Brandenburg region.
-
C.
Stadtkreis Potsdam
Stadtkreis Potsdam is the independent urban district centered on the city of Potsdam, the capital of the German federal state of Brandenburg.
-
D.
Zossen
chosen
Zossen is a town in Brandenburg, Germany, historically notable as a major military command center, including serving as a key headquarters area during the Soviet occupation after World War II.
-
E.
Teltow-Fläming district
Teltow-Fläming district is a rural administrative district in the German state of Brandenburg, known for its mix of small towns, forests, and historical sites south of Berlin.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021d8d600819097df4e265e262d90 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d177d18819090018371d22c66a3 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:36 p.m.