Triple
T20862234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teltow-Fläming |
E513648
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Blankenfelde-Mahlow |
—
|
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: Blankenfelde-Mahlow | Statement: [Teltow-Fläming, contains, Blankenfelde-Mahlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blankenfelde-Mahlow Context triple: [Teltow-Fläming, contains, Blankenfelde-Mahlow]
-
A.
Blankenfelde-Mahlow
chosen
Blankenfelde-Mahlow is a municipality in the Teltow-Fläming district of Brandenburg, Germany, located just south of Berlin and known as a suburban residential area within the Berlin metropolitan region.
-
B.
Stolzenhagen
Stolzenhagen is a village and locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
C.
Schorfheide
Schorfheide is a large forested and lake-rich area in Brandenburg, Germany, known for its protected natural landscapes and historical use as a royal and political hunting ground.
-
D.
Ludwigsfelde
Ludwigsfelde is a town in the German state of Brandenburg, located just south of Berlin and known for its industrial history and automotive manufacturing.
-
E.
Hellersdorf
Hellersdorf is a locality in eastern Berlin, Germany, known for its large prefabricated housing estates built during the GDR era.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.