Triple
T3690666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberhavel |
E78334
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Uckermark |
E67735
|
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: Uckermark | Statement: [Oberhavel, borders, Uckermark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uckermark Context triple: [Oberhavel, borders, Uckermark]
-
A.
Uckermark
chosen
Uckermark is a rural historical region in northeastern Germany, known for its lakes, forests, and low population density, located primarily in the state of Brandenburg.
-
B.
Vorpommern-Rügen
Vorpommern-Rügen is a district in the northeastern German state of Mecklenburg-Vorpommern that encompasses the island of Rügen and parts of the Baltic Sea coast.
-
C.
Mecklenburgische Schweiz
Mecklenburgische Schweiz is a hilly, lake-rich landscape region in northeastern Germany known for its rolling moraines, forests, and scenic rural character.
-
D.
Havelland
Havelland is a rural district in western Brandenburg, Germany, known for its river landscapes along the Havel, historic towns, and agricultural character.
-
E.
Nordwestmecklenburg
Nordwestmecklenburg is a rural district in the German state of Mecklenburg-Vorpommern, known for its Baltic Sea coastline and historic towns.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e6147c8190ae358e8cc94f479c |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db01e118819090438d80898cf73b |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:26 p.m.