Triple
T17914021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schnaittach River |
E447879
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Pegnitz 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: Pegnitz River | Statement: [Schnaittach River, tributaryOf, Pegnitz River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pegnitz River Context triple: [Schnaittach River, tributaryOf, Pegnitz River]
-
A.
Pegnitz River
chosen
The Pegnitz River is a river in the German state of Bavaria that flows through the city of Nuremberg and joins the Rednitz to form the Regnitz.
-
B.
Lusatian Neisse River
The Lusatian Neisse River is a Central European river that forms part of the border between Germany and Poland before joining the Oder River.
-
C.
Gera River
The Gera River is a waterway in central Germany that flows through the city of Erfurt in the state of Thuringia.
-
D.
Unstrut River
The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
-
E.
Wakenitz
Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30461848190b932a45807329216 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.