Triple
T19841244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzbüheler Ache |
E476733
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Kirchdorf 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: Kirchdorf in Tirol | Statement: [Kitzbüheler Ache, flowsThrough, Kirchdorf in Tirol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirchdorf in Tirol Context triple: [Kitzbüheler Ache, flowsThrough, Kirchdorf in Tirol]
-
A.
Kirchdorf in Tirol
chosen
Kirchdorf in Tirol is a picturesque municipality in the Austrian state of Tyrol, known for its alpine scenery and outdoor recreation opportunities.
-
B.
Kirchberg in Tirol
Kirchberg in Tirol is a picturesque Austrian village in the Tyrolean Alps known for its skiing, hiking, and proximity to the famous resort town of Kitzbühel.
-
C.
Kirchdorf im Wald
Kirchdorf im Wald is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Oberndorf in Tirol
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.
-
E.
Kirchdorf
Kirchdorf is a small municipality in the Bavarian district of Kelheim 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_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.