Triple
T19340329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saanen |
E483737
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Schönried |
—
|
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: Schönried | Statement: [Saanen, contains, Schönried]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönried Context triple: [Saanen, contains, Schönried]
-
A.
Schönried
chosen
Schönried is a Swiss alpine village and ski resort in the Bernese Oberland, known for its scenic mountain setting and proximity to the upscale resort area of Gstaad.
-
B.
Meisenthal
Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
-
C.
Köstendorf
Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
-
D.
Luxenberg
Luxenberg is an alternative spelling or variant form of the name "Luxemburg," which can refer to the European country Luxembourg or the surname of notable individuals such as revolutionary Rosa Luxemburg.
-
E.
Offenberg
Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61856c0948190a3166b3bf3810e43 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.