Triple
T9440783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg district |
E227639
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Wertach |
E205543
|
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: Wertach | Statement: [Augsburg district, hasRiver, Wertach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wertach Context triple: [Augsburg district, hasRiver, Wertach]
-
A.
Wertach River
chosen
The Wertach River is a tributary waterway in Bavaria, Germany, flowing northward through towns such as Kaufbeuren and Augsburg before joining the Lech River.
-
B.
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.
-
C.
Saalach River
The Saalach River is an Alpine river in Austria and Germany that flows through the spa town of Bad Reichenhall before joining the Salzach.
-
D.
Salzach River
The Salzach River is a major river in Austria and Germany that flows through the city of Salzburg and forms part of the border between the two countries.
-
E.
Eisack
Eisack is a major river in northern Italy that flows through the South Tyrol region, including the city of Bolzano, before joining the Adige.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cd9ae548190bf985c72196eb0bd |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:50 p.m.