Triple
T19417051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinzgau |
E485747
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Saalach River |
—
|
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: Saalach River | Statement: [Pinzgau, traversedBy, Saalach River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saalach River Context triple: [Pinzgau, traversedBy, Saalach River]
-
A.
Saalach River
chosen
The Saalach River is an Alpine river in Austria and Germany that flows through the spa town of Bad Reichenhall before joining the Salzach.
-
B.
Wertach River
The Wertach River is a tributary waterway in Bavaria, Germany, flowing northward through towns such as Kaufbeuren and Augsburg before joining the Lech River.
-
C.
Wiese River
The Wiese River is a tributary of the Rhine flowing through parts of Germany and Switzerland, including the municipality of Riehen near Basel.
-
D.
Traun River
The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
-
E.
Lachen River
The Lachen River is a Himalayan mountain river in the Indian state of Sikkim, known for its glacial origins and role in feeding the Teesta River system.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.