Triple
T18968913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Düppel |
E464112
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kleinmachnow |
—
|
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: Kleinmachnow | Statement: [Düppel, locatedNear, Kleinmachnow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleinmachnow Context triple: [Düppel, locatedNear, Kleinmachnow]
-
A.
Kleinmachnow
chosen
Kleinmachnow is a suburban municipality in the Potsdam-Mittelmark district of Brandenburg, Germany, located southwest of Berlin and known for its residential character and proximity to the capital.
-
B.
Mariendorf
Mariendorf is a locality in the Tempelhof-Schöneberg borough of Berlin, Germany, known for its residential character and the historic Mariendorf trotting racetrack.
-
C.
Wandlitz
Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
-
D.
Schwedt
Schwedt is a town in northeastern Germany, located on the Oder River near the Polish border, known for its industrial facilities and cross-border regional ties.
-
E.
Grömitz
Grömitz is a Baltic Sea resort town in northern Germany known for its long sandy beaches and seaside tourism.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d618e2ec8190848a41733e6db2f1 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon