Triple
T7913233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günsberg |
E183750
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Lommiswil |
E146224
|
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: Lommiswil | Statement: [Günsberg, neighboringMunicipality, Lommiswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lommiswil Context triple: [Günsberg, neighboringMunicipality, Lommiswil]
-
A.
Lommiswil
chosen
Lommiswil is a small Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura mountains.
-
B.
Volketswil
Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
-
C.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
D.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
-
E.
Wilderswil
Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a748f4c8190bcd868de2fcf0b3a |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdfb8d0819089cf1268df61bcdc |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:04 p.m.