Triple
T18846894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amt Hohe Elbgeest |
E460939
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Aumühle |
—
|
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: Aumühle | Statement: [Amt Hohe Elbgeest, hasMunicipality, Aumühle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aumühle Context triple: [Amt Hohe Elbgeest, hasMunicipality, Aumühle]
-
A.
Aumühle
chosen
Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
-
B.
Hüttermühle
Hüttermühle is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
-
C.
Schmidmühlen
Schmidmühlen is a small market town in the Upper Palatinate region of Bavaria, Germany, known for its scenic location at the confluence of the Vils and Lauterach rivers.
-
D.
Hudemühlen
Hudemühlen is a locality in the municipality of Hodenhagen in Lower Saxony, Germany, historically known for the former Hudemühlen Castle.
-
E.
Pleistermühle
Pleistermühle is a popular riverside leisure and recreation spot on the Werse near Münster, Germany, known for activities like cycling, canoeing, and relaxing by the water.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8efafdc81909608b8a47deeaa8e |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.