Triple
T23338650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wangen an der Aare |
E591672
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Walliswil bei Wangen |
—
|
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: Walliswil bei Wangen | Statement: [Wangen an der Aare, hasNeighboringMunicipality, Walliswil bei Wangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walliswil bei Wangen Context triple: [Wangen an der Aare, hasNeighboringMunicipality, Walliswil bei Wangen]
-
A.
Walliswil bei Wangen
chosen
Walliswil bei Wangen is a small Swiss municipality in the canton of Bern, located in the Oberaargau region.
-
B.
Walliswil bei Niederbipp
Walliswil bei Niederbipp is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
-
C.
Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
-
D.
Walperswil
Walperswil is a small municipality in the canton of Bern in Switzerland.
-
E.
Wiggiswil
Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983099188190a2e05cf81d62a641 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.