Triple
T22550067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebern electoral district |
E557534
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Lüsslingen-Nennigkofen |
—
|
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: Lüsslingen-Nennigkofen | Statement: [Lebern electoral district, hasMunicipality, Lüsslingen-Nennigkofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lüsslingen-Nennigkofen Context triple: [Lebern electoral district, hasMunicipality, Lüsslingen-Nennigkofen]
-
A.
Lüsslingen
chosen
Lüsslingen is a village and former municipality in the canton of Solothurn in Switzerland.
-
B.
Nenzlingen
Nenzlingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and scenic surroundings.
-
C.
Neidlingen
Neidlingen is a small municipality in the German state of Baden-Württemberg, situated on the edge of the Swabian Jura.
-
D.
Läufelfingen
Läufelfingen is a municipality in the canton of Basel-Landschaft in Switzerland, situated in a rural, hilly region near the Hauenstein Pass.
-
E.
Andelfingen
Andelfingen is a municipality and regional center in the canton of Zürich in northern Switzerland, known for its rural character and vineyards along the Thur River.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f74512c8190b5369e19a4bc6325 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.