Triple
T20098950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bisingen |
—
|
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: Bisingen | Statement: [Zollernalbkreis, contains, Bisingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bisingen Context triple: [Zollernalbkreis, contains, Bisingen]
-
A.
Bisingen
chosen
Bisingen is a municipality in the Zollernalb district of Baden-Württemberg, Germany, known for its proximity to the historic Hohenzollern Castle.
-
B.
Bollingen
Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
-
C.
Bolligen
Bolligen is a Swiss municipality in the canton of Bern, known as a residential community on the outskirts of the city of Bern.
-
D.
Binnig
Binnig is a German surname most notably associated with physicist Gerd Binnig, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
-
E.
Binntal
Binntal is a scenic alpine valley in the German-speaking part of the Swiss canton of Valais, known for its unspoiled nature and traditional mountain villages.
- 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.