Triple
T12420573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leverkusen |
E296756
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Bergisch Neukirchen
Bergisch Neukirchen is a district of the German city of Leverkusen, located in North Rhine-Westphalia.
|
E992984
|
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: Bergisch Neukirchen | Statement: [Leverkusen, hasDistrict, Bergisch Neukirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergisch Neukirchen Context triple: [Leverkusen, hasDistrict, Bergisch Neukirchen]
-
A.
Bergkamen
Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
-
B.
Euskirchen
Euskirchen is a town in the German state of North Rhine-Westphalia, known as a regional center near Bonn and the Eifel region.
-
C.
Zülpich
Zülpich is a historic town in North Rhine-Westphalia, Germany, known for its Roman heritage and medieval fortifications.
-
D.
Hennef
Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
-
E.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
- 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: Bergisch Neukirchen Triple: [Leverkusen, hasDistrict, Bergisch Neukirchen]
Generated description
Bergisch Neukirchen is a district of the German city of Leverkusen, located in North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bergisch Neukirchen Target entity description: Bergisch Neukirchen is a district of the German city of Leverkusen, located in North Rhine-Westphalia.
-
A.
Bergkamen
Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
-
B.
Euskirchen
Euskirchen is a town in the German state of North Rhine-Westphalia, known as a regional center near Bonn and the Eifel region.
-
C.
Zülpich
Zülpich is a historic town in North Rhine-Westphalia, Germany, known for its Roman heritage and medieval fortifications.
-
D.
Hennef
Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
-
E.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea44a808190af2c5a6633120814 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f661369d608190b7b4f8b2bcf6e9b3 |
completed | May 2, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f661b369fc81909ced522d7057589e |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 8, 2026, 9:55 p.m.