Triple
T22558019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland and Germany |
E557737
|
entity |
| Predicate | connectedBy |
P37
|
FINISHED |
| Object | Oder–Neisse cycling routes |
—
|
NE NERFINISHED |
How this triple was built (3 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: Oder–Neisse cycling routes | Statement: [Poland and Germany, connectedBy, Oder–Neisse cycling routes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oder–Neisse cycling routes Context triple: [Poland and Germany, connectedBy, Oder–Neisse cycling routes]
-
A.
Elbe Cycle Route
The Elbe Cycle Route is a long-distance cycling path that follows the Elbe River through scenic landscapes and historic towns in Germany and the Czech Republic.
-
B.
Weser Cycle Route
The Weser Cycle Route is a long-distance cycling path that follows the River Weser through scenic regions of Germany, including the Weser Uplands, and is popular for its well-developed, mostly flat trails and cultural attractions along the way.
-
C.
Altmühl Valley Cycle Route
The Altmühl Valley Cycle Route is a long-distance cycling path in Bavaria, Germany, that follows the Altmühl River through scenic valleys, historic towns, and nature reserves.
-
D.
RuhrtalRadweg cycling route
The RuhrtalRadweg cycling route is a popular long-distance bike path in Germany that follows the Ruhr River through scenic landscapes, historic industrial sites, and charming towns.
-
E.
Danube cycle route
The Danube cycle route is a long-distance cycling path that follows the Danube River through multiple European countries, renowned for its scenic landscapes, historic towns, and well-developed infrastructure for cyclists.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oder–Neisse cycling routes Target entity description: The Oder–Neisse cycling routes are long-distance bike paths that follow the Oder and Neisse rivers along the Polish–German border, offering scenic cross-border cycling through diverse landscapes and historic towns.
-
A.
Elbe Cycle Route
The Elbe Cycle Route is a long-distance cycling path that follows the Elbe River through scenic landscapes and historic towns in Germany and the Czech Republic.
-
B.
Weser Cycle Route
The Weser Cycle Route is a long-distance cycling path that follows the River Weser through scenic regions of Germany, including the Weser Uplands, and is popular for its well-developed, mostly flat trails and cultural attractions along the way.
-
C.
Altmühl Valley Cycle Route
The Altmühl Valley Cycle Route is a long-distance cycling path in Bavaria, Germany, that follows the Altmühl River through scenic valleys, historic towns, and nature reserves.
-
D.
RuhrtalRadweg cycling route
The RuhrtalRadweg cycling route is a popular long-distance bike path in Germany that follows the Ruhr River through scenic landscapes, historic industrial sites, and charming towns.
-
E.
Danube cycle route
The Danube cycle route is a long-distance cycling path that follows the Danube River through multiple European countries, renowned for its scenic landscapes, historic towns, and well-developed infrastructure for cyclists.
- F. None of above. chosen
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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.