Triple
T8259539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube River at Donauwörth |
E193157
|
entity |
| Predicate | hasConfluenceWith |
P2416
|
FINISHED |
| Object | Wörnitz River |
E567873
|
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: Wörnitz River | Statement: [Danube River at Donauwörth, hasConfluenceWith, Wörnitz River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wörnitz River Context triple: [Danube River at Donauwörth, hasConfluenceWith, Wörnitz River]
-
A.
River Wörnitz
chosen
River Wörnitz is a river in Bavaria, Germany, that flows through historic towns such as Dinkelsbühl before joining the Danube.
-
B.
Chemnitz River
The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
-
C.
Schnaittach River
The Schnaittach River is a smaller watercourse in Bavaria, Germany, that flows through the Franconian region before joining the Pegnitz River.
-
D.
Würschnitz
Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
-
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 (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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb793479d08190bd0dd8740bebff95 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce392feb048190a2adaee594127b0c |
completed | April 2, 2026, 9:38 a.m. |
Created at: March 30, 2026, 5:49 p.m.