Triple
T20305352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vöcklabruck District |
E505595
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Schwanenstadt |
—
|
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: Schwanenstadt | Statement: [Vöcklabruck District, containsSettlement, Schwanenstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwanenstadt Context triple: [Vöcklabruck District, containsSettlement, Schwanenstadt]
-
A.
Schwanenstadt
chosen
Schwanenstadt is a small Austrian town in the state of Upper Austria, known as the birthplace of composer Franz Xaver Süssmayr.
-
B.
Dreiflüssestadt
Dreiflüssestadt is the German nickname for the city of Passau, renowned for its picturesque location at the confluence of the Danube, Inn, and Ilz rivers.
-
C.
Käthchenstadt
Käthchenstadt is a regional nickname for the German city of Heilbronn, referencing the famous play "Das Käthchen von Heilbronn" by Heinrich von Kleist.
-
D.
Samt- und Seidenstadt
Samt- und Seidenstadt is a German nickname for the city of Krefeld, highlighting its historical prominence in the velvet and silk textile industry.
-
E.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.