Triple
T17157374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wermelskirchen |
E416377
|
entity |
| Predicate | isMemberOf |
P10
|
FINISHED |
| Object |
Regionale 2025 Bergisches RheinLand development region
The Regionale 2025 Bergisches RheinLand development region is a German regional planning and funding initiative focused on promoting sustainable urban, economic, and cultural development in the Bergisches RheinLand area.
|
E1254929
|
NE FINISHED |
How this triple was built (4 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: Regionale 2025 Bergisches RheinLand development region | Statement: [Wermelskirchen, isMemberOf, Regionale 2025 Bergisches RheinLand development region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regionale 2025 Bergisches RheinLand development region Context triple: [Wermelskirchen, isMemberOf, Regionale 2025 Bergisches RheinLand development region]
-
A.
Rheinische Ruhrschiene region (edge)
The Rheinische Ruhrschiene region is a densely populated and industrialized metropolitan area in western Germany centered around the Ruhr and Rhine rivers.
-
B.
Bergisches Land metropolitan region
The Bergisches Land metropolitan region is an urbanized area in western Germany characterized by its hilly landscape, industrial heritage, and network of medium-sized cities east of the Rhine.
-
C.
Bergisches Land
Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
-
D.
Regionalverband Ruhr
Regionalverband Ruhr is a regional association in Germany that coordinates planning, development, and cooperation among cities in the Ruhr metropolitan area.
-
E.
Koblenz region
The Koblenz region is an area in the German state of Rhineland-Palatinate centered around the city of Koblenz, known for its location at the confluence of the Rhine and Moselle rivers and its historic towns and landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Regionale 2025 Bergisches RheinLand development region Triple: [Wermelskirchen, isMemberOf, Regionale 2025 Bergisches RheinLand development region]
Generated description
The Regionale 2025 Bergisches RheinLand development region is a German regional planning and funding initiative focused on promoting sustainable urban, economic, and cultural development in the Bergisches RheinLand area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regionale 2025 Bergisches RheinLand development region Target entity description: The Regionale 2025 Bergisches RheinLand development region is a German regional planning and funding initiative focused on promoting sustainable urban, economic, and cultural development in the Bergisches RheinLand area.
-
A.
Rheinische Ruhrschiene region (edge)
The Rheinische Ruhrschiene region is a densely populated and industrialized metropolitan area in western Germany centered around the Ruhr and Rhine rivers.
-
B.
Bergisches Land metropolitan region
The Bergisches Land metropolitan region is an urbanized area in western Germany characterized by its hilly landscape, industrial heritage, and network of medium-sized cities east of the Rhine.
-
C.
Bergisches Land
Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
-
D.
Regionalverband Ruhr
Regionalverband Ruhr is a regional association in Germany that coordinates planning, development, and cooperation among cities in the Ruhr metropolitan area.
-
E.
Koblenz region
The Koblenz region is an area in the German state of Rhineland-Palatinate centered around the city of Koblenz, known for its location at the confluence of the Rhine and Moselle rivers and its historic towns and landscapes.
- F. None of above. chosen
Provenance (5 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40bf9ec8190b16372bcd091db9b |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148356a8081909d0c82db32b3a744 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014b63380c8190a5c23b7a7751bc7e |
completed | May 11, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014da3b3548190a1ee5a969884d1d0 |
completed | May 11, 2026, 3:31 a.m. |
Created at: April 10, 2026, 5:37 a.m.