Triple
T14850812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuno Amiet |
E349220
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Oschwand |
E1134483
|
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: Oschwand | Statement: [Cuno Amiet, workLocation, Oschwand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oschwand Context triple: [Cuno Amiet, workLocation, Oschwand]
-
A.
Oschwand
chosen
Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Rorschacherberg
Rorschacherberg is a municipality in the canton of St. Gallen in northeastern Switzerland, situated above Lake Constance with views over the lake and surrounding region.
-
D.
Volkenschwand
Volkenschwand is a rural municipality in Lower Bavaria, Germany, characterized by its agricultural landscape and small-village setting.
-
E.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded43eee188190bf24dc475b3abe28 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae005644819098937cedb53202c5 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:54 a.m.