Triple
T19841246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzbüheler Ache |
E476733
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Oberndorf in Tirol |
—
|
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: Oberndorf in Tirol | Statement: [Kitzbüheler Ache, flowsThrough, Oberndorf in Tirol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberndorf in Tirol Context triple: [Kitzbüheler Ache, flowsThrough, Oberndorf in Tirol]
-
A.
Oberndorf in Tirol
chosen
Oberndorf in Tirol is a small Austrian village in the Tyrolean Alps known for its scenic mountain setting and access to skiing and outdoor recreation.
-
B.
Oberndorf bei Salzburg
Oberndorf bei Salzburg is a small Austrian town near Salzburg, best known as the place where the Christmas carol "Silent Night" was first performed.
-
C.
Oberstdorf
Oberstdorf is a renowned alpine resort town in southern Germany known for skiing, ski jumping, and hiking amid dramatic mountain scenery.
-
D.
Oberndorf am Lech
Oberndorf am Lech is a Bavarian municipality in southern Germany situated along the River Lech.
-
E.
Obertauern
Obertauern is a high-altitude Austrian ski resort town renowned for its extensive slopes, reliable snow conditions, and vibrant après-ski scene.
- 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.