Triple
T11987676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albstadt |
E285322
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Ebingen |
E280632
|
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: Ebingen | Statement: [Albstadt, formedByMergerOf, Ebingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebingen Context triple: [Albstadt, formedByMergerOf, Ebingen]
-
A.
Ebingen
chosen
Ebingen is a district of Albstadt in the Swabian Jura region of Baden-Württemberg, Germany, historically known as an independent town and the birthplace of former German Chancellor Kurt Georg Kiesinger.
-
B.
Hechingen
Hechingen is a historic town in the German state of Baden-Württemberg, known for its proximity to Hohenzollern Castle and its role as a former seat of the Hohenzollern dynasty.
-
C.
Blaubeuren
Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
-
D.
Buhlbronn
Buhlbronn is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
-
E.
Furtwangen
Furtwangen is a small town in Germany’s Black Forest region, historically known for its clockmaking industry and home to the Furtwangen University of Applied Sciences.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbac5b0881908cc98458f1b3004d |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 8, 2026, 9:46 p.m.