Triple
T18090268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimmerberg region |
E432944
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oberrieden |
—
|
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: Oberrieden | Statement: [Zimmerberg region, contains, Oberrieden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberrieden Context triple: [Zimmerberg region, contains, Oberrieden]
-
A.
Oberrieden
chosen
Oberrieden is a municipality in the canton of Zurich, Switzerland, situated on the western shore of Lake Zurich.
-
B.
Pfäfflingen
Pfäfflingen is a small village and district of the town Nördlingen in the Donau-Ries district of Bavaria, Germany.
-
C.
Zollikon
Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
-
D.
Würenlingen
Würenlingen is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Aare River and regional transport links.
-
E.
Küssnacht
Küssnacht is a picturesque Swiss municipality in the canton of Schwyz, known for its lakeside setting, historic village center, and association with the William Tell legend.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd17ba98819085a15e8593d98259 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.