Triple
T9408265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baden railway station |
E226640
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baden, Aargau |
E408674
|
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: Baden, Aargau | Statement: [Baden railway station, locatedIn, Baden, Aargau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baden, Aargau Context triple: [Baden railway station, locatedIn, Baden, Aargau]
-
A.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
B.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
C.
Baden, Switzerland
chosen
Baden, Switzerland is a historic spa town in the canton of Aargau known for its thermal baths and picturesque setting along the Limmat River.
-
D.
Schaffhausen
Schaffhausen is a historic town and capital of the canton of the same name in northern Switzerland, known for its well-preserved medieval old town and proximity to the Rhine Falls.
-
E.
Bülach
Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5252b3fc8190b0808a10987728c8 |
completed | April 1, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18208ba9081909efa44f98f90c11a |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:47 p.m.