Triple
T17717310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheb District |
E442231
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Euroregion Egrensis |
—
|
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: Euroregion Egrensis | Statement: [Cheb District, partOf, Euroregion Egrensis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euroregion Egrensis Context triple: [Cheb District, partOf, Euroregion Egrensis]
-
A.
Euroregion EUREGIO
Euroregion EUREGIO is a cross-border cooperation region along the Dutch-German border that promotes economic, cultural, and social collaboration between its member municipalities and regions.
-
B.
Carpathian Euroregion
The Carpathian Euroregion is a transnational cooperative region in Central and Eastern Europe that promotes cross-border collaboration and development among areas of Poland, Ukraine, Slovakia, Hungary, and Romania around the Carpathian Mountains.
-
C.
Euroregion Elbe/Labe
Euroregion Elbe/Labe is a cross-border cooperation area along the Elbe River that links regions in the Czech Republic and Germany to promote joint economic, cultural, and environmental development.
-
D.
Euroregion Neisse-Nisa-Nysa
Euroregion Neisse-Nisa-Nysa is a cross-border cooperation area uniting parts of Poland, Germany, and the Czech Republic to promote regional development, cultural exchange, and economic collaboration.
-
E.
Euroregion Baltic
Euroregion Baltic is a transnational cooperation area in the southern Baltic Sea region that promotes cross-border collaboration and development among its member regions in countries such as Poland, Sweden, Denmark, Lithuania, and Russia.
- 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: Euroregion Egrensis Target entity description: Euroregion Egrensis is a cross-border cooperative region in Central Europe that promotes economic, cultural, and social collaboration between bordering areas of the Czech Republic and Germany (and partly Austria).
-
A.
Euroregion EUREGIO
Euroregion EUREGIO is a cross-border cooperation region along the Dutch-German border that promotes economic, cultural, and social collaboration between its member municipalities and regions.
-
B.
Carpathian Euroregion
The Carpathian Euroregion is a transnational cooperative region in Central and Eastern Europe that promotes cross-border collaboration and development among areas of Poland, Ukraine, Slovakia, Hungary, and Romania around the Carpathian Mountains.
-
C.
Euroregion Elbe/Labe
chosen
Euroregion Elbe/Labe is a cross-border cooperation area along the Elbe River that links regions in the Czech Republic and Germany to promote joint economic, cultural, and environmental development.
-
D.
Euroregion Neisse-Nisa-Nysa
Euroregion Neisse-Nisa-Nysa is a cross-border cooperation area uniting parts of Poland, Germany, and the Czech Republic to promote regional development, cultural exchange, and economic collaboration.
-
E.
Euroregion Baltic
Euroregion Baltic is a transnational cooperation area in the southern Baltic Sea region that promotes cross-border collaboration and development among its member regions in countries such as Poland, Sweden, Denmark, Lithuania, and Russia.
- F. None of above.
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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.