Triple
T15955828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzlandkreis |
E386930
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Schönebeck (Elbe) |
E585387
|
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: Schönebeck (Elbe) | Statement: [Salzlandkreis, containsTown, Schönebeck (Elbe)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönebeck (Elbe) Context triple: [Salzlandkreis, containsTown, Schönebeck (Elbe)]
-
A.
Schönebeck (Elbe)
chosen
Schönebeck (Elbe) is a town in Saxony-Anhalt, Germany, situated on the Elbe River just south of Magdeburg and known historically for its salt production and spa traditions.
-
B.
Dannenberg (Elbe)
Dannenberg (Elbe) is a small town in Lower Saxony, Germany, situated on the Elbe River and known as a local administrative and service center in the Lüchow-Dannenberg district.
-
C.
Roßlau (Elbe)
Roßlau (Elbe) is a town in Saxony-Anhalt, Germany, located on the Elbe River and now incorporated into the city of Dessau-Roßlau.
-
D.
Pließnitz
Pließnitz is a small river in eastern Germany that flows through Saxony and joins the Lusatian Neisse.
-
E.
Hitzacker (Elbe)
Hitzacker (Elbe) is a historic small town in Lower Saxony, Germany, situated on the Elbe River and known for its well-preserved old town and scenic floodplain landscape.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fb29848190a55cabb49cb19575 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.