Triple
T20967431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thur |
E516403
|
entity |
| Predicate | passesThroughRegion |
P3448
|
FINISHED |
| Object | Toggenburg |
—
|
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: Toggenburg | Statement: [Thur, passesThroughRegion, Toggenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toggenburg Context triple: [Thur, passesThroughRegion, Toggenburg]
-
A.
Toggenburg
chosen
Toggenburg is a mountainous region in the canton of St. Gallen in northeastern Switzerland, known for its alpine landscapes, traditional villages, and outdoor recreation.
-
B.
Seeland (Bernese Lakeland)
Seeland, also known as the Bernese Lakeland, is a region in western Switzerland characterized by its lakes, fertile plains, and agricultural landscapes, particularly in the canton of Bern.
-
C.
Berner
A Berner is a resident or native of the Swiss city of Bern.
-
D.
Berner
Berner is an American rapper and entrepreneur known for his prolific collaborations in hip-hop and his influential role in the legal cannabis industry.
-
E.
Duttweiler
Duttweiler is a village and local district (Ortsteil) of Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of Germany.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:37 p.m.