Triple
T22550088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebern electoral district |
E557534
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Hersiwil |
—
|
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: Hersiwil | Statement: [Lebern electoral district, hasMunicipality, Hersiwil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hersiwil Context triple: [Lebern electoral district, hasMunicipality, Hersiwil]
-
A.
Hersiwil
chosen
Hersiwil is a small municipality in the canton of Solothurn in Switzerland.
-
B.
Hundwil
Hundwil is a small Swiss municipality known for its rural character and traditional Appenzell culture in northeastern Switzerland.
-
C.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
-
D.
Volketswil
Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
-
E.
Gsteigwiler
Gsteigwiler is a small Swiss municipality in the canton of Bern, located in the Interlaken region of the Bernese Oberland.
- 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.