Triple
T20098947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Balingen |
—
|
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: Balingen | Statement: [Zollernalbkreis, contains, Balingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balingen Context triple: [Zollernalbkreis, contains, Balingen]
-
A.
Balingen
chosen
Balingen is a town in the Zollernalb district of Baden-Württemberg in southwestern Germany, known for its location on the Swabian Jura and its mix of industrial and residential character.
-
B.
Boblingen
Böblingen is a town in the German state of Baden-Württemberg, known for its automotive industry presence and proximity to Stuttgart.
-
C.
Bobingen
Bobingen is a small town in Bavaria, Germany, situated near Augsburg and known for its location along the Wertach River.
-
D.
Lautlingen
Lautlingen is a village in the Zollernalb district of Baden-Württemberg, Germany, now incorporated as a district of the town of Albstadt.
-
E.
Bochingen
Bochingen is a village and district of the town Oberndorf am Neckar in the state of Baden-Württemberg in southwestern Germany.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.