Triple
T8787820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ötztaler Ache |
E209086
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Umhausen |
E457443
|
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: Umhausen | Statement: [Ötztaler Ache, flowsThrough, Umhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umhausen Context triple: [Ötztaler Ache, flowsThrough, Umhausen]
-
A.
Umhausen
chosen
Umhausen is a municipality in the Tyrolean Alps of western Austria, known for its scenic mountain setting and proximity to popular hiking and skiing areas.
-
B.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
C.
Creutzwald
Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
-
D.
Holdorf
Holdorf is a municipality in Lower Saxony, Germany, situated within the predominantly rural District of Vechta.
-
E.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f89a84c819085d4cfe4e6dfbda8 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf520678f48190a0af3df75df9b269 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.