Triple
T18127699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallesau |
E433921
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Landkreis Roth |
—
|
NE NERFINISHED |
How this triple was built (3 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: Landkreis Roth | Statement: [Wallesau, partOf, Landkreis Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landkreis Roth Context triple: [Wallesau, partOf, Landkreis Roth]
-
A.
Landkreis Calw
Landkreis Calw is a rural district in the state of Baden-Württemberg in southwestern Germany, known for its Black Forest landscapes and historic towns.
-
B.
Landkreis Biberach
Landkreis Biberach is a rural district in the state of Baden-Württemberg in southern Germany, known for its historic towns, agricultural landscape, and location in the Upper Swabia region.
-
C.
Landkreis Miltenberg
Landkreis Miltenberg is a rural district in the Lower Franconia region of Bavaria, Germany, known for its location along the River Main and its historic towns and wine-growing areas.
-
D.
Landkreis Heidenheim
Landkreis Heidenheim is a rural district in the eastern part of the German state of Baden-Württemberg, known for its mix of industrial towns and scenic Swabian Jura landscapes.
-
E.
Landkreis Neu-Ulm
Landkreis Neu-Ulm is a rural district in the Bavarian region of Swabia in southern Germany, known for its proximity to the city of Ulm and its location along the Iller and Danube rivers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Landkreis Roth Target entity description: Landkreis Roth is a rural district in the German state of Bavaria, known for its mix of small towns, forests, and agricultural landscapes south of Nuremberg.
-
A.
Landkreis Calw
Landkreis Calw is a rural district in the state of Baden-Württemberg in southwestern Germany, known for its Black Forest landscapes and historic towns.
-
B.
Landkreis Biberach
Landkreis Biberach is a rural district in the state of Baden-Württemberg in southern Germany, known for its historic towns, agricultural landscape, and location in the Upper Swabia region.
-
C.
Landkreis Miltenberg
Landkreis Miltenberg is a rural district in the Lower Franconia region of Bavaria, Germany, known for its location along the River Main and its historic towns and wine-growing areas.
-
D.
Landkreis Heidenheim
Landkreis Heidenheim is a rural district in the eastern part of the German state of Baden-Württemberg, known for its mix of industrial towns and scenic Swabian Jura landscapes.
-
E.
Landkreis Neu-Ulm
Landkreis Neu-Ulm is a rural district in the Bavarian region of Swabia in southern Germany, known for its proximity to the city of Ulm and its location along the Iller and Danube rivers.
- F. None of above. chosen
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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddef4cd88190b16ef0d6ed3968c6 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.