Triple
T19841245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzbüheler Ache |
E476733
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Fieberbrunn |
—
|
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: Fieberbrunn | Statement: [Kitzbüheler Ache, flowsThrough, Fieberbrunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fieberbrunn Context triple: [Kitzbüheler Ache, flowsThrough, Fieberbrunn]
-
A.
Fieberbrunn
chosen
Fieberbrunn is an Austrian alpine village and ski resort renowned for its freeride terrain and access to the Kitzbühel Alps.
-
B.
Feldbrunnen
Feldbrunnen is a village and municipality in the canton of Solothurn in northwestern Switzerland.
-
C.
Muggenbrunn
Muggenbrunn is a small village in the Black Forest region of Baden-Württemberg, Germany, known as a district of the town of Todtnau and a base for hiking and winter sports.
-
D.
Fraubrunnen
Fraubrunnen is a municipality in the canton of Bern in Switzerland, known for its rural character and location in the Swiss Plateau.
-
E.
Kaltbrunn
Kaltbrunn is a locality that forms part of the municipality of Allensbach in the German state of Baden-Württemberg.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580576748190b85e234b01209ae7 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.