Triple
T14731247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Solothurn |
E346078
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Wangen bei Olten |
E120371
|
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: Wangen bei Olten | Statement: [canton of Solothurn, contains, Wangen bei Olten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wangen bei Olten Context triple: [canton of Solothurn, contains, Wangen bei Olten]
-
A.
Wangen bei Olten
chosen
Wangen bei Olten is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to the town of Olten.
-
B.
Wohlen
Wohlen is a municipality and regional center in the Swiss canton of Aargau, known for its industrial history and role as a local economic hub.
-
C.
Wangen an der Aare
Wangen an der Aare is a municipality in the canton of Bern in Switzerland, situated along the Aare River and known for its historic town center and strategic river crossing.
-
D.
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.
-
E.
Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb89ea388190b356df74e36023f7 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.