Triple
T9282221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aachen district (Städteregion Aachen) |
E223095
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Würselen
Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
|
E850465
|
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: Würselen | Statement: [Aachen district (Städteregion Aachen), contains, Würselen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Würselen Context triple: [Aachen district (Städteregion Aachen), contains, Würselen]
-
A.
Herzogenrath
Herzogenrath is a town in western Germany near the Dutch border, known for its cross-border cooperation with the neighboring Dutch town of Kerkrade.
-
B.
Waldbröl
Waldbröl is a small town in North Rhine-Westphalia, Germany, known for its rural setting in the Bergisches Land region.
-
C.
Lüdenscheid
Lüdenscheid is a town in western Germany’s Sauerland region, historically noted for its role in World War II and known today for its metal and plastics industries.
-
D.
Zülpich
Zülpich is a historic town in North Rhine-Westphalia, Germany, known for its Roman heritage and medieval fortifications.
-
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: Würselen Triple: [Aachen district (Städteregion Aachen), contains, Würselen]
Generated description
Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Würselen Target entity description: Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
-
A.
Herzogenrath
Herzogenrath is a town in western Germany near the Dutch border, known for its cross-border cooperation with the neighboring Dutch town of Kerkrade.
-
B.
Waldbröl
Waldbröl is a small town in North Rhine-Westphalia, Germany, known for its rural setting in the Bergisches Land region.
-
C.
Lüdenscheid
Lüdenscheid is a town in western Germany’s Sauerland region, historically noted for its role in World War II and known today for its metal and plastics industries.
-
D.
Zülpich
Zülpich is a historic town in North Rhine-Westphalia, Germany, known for its Roman heritage and medieval fortifications.
-
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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081c2b048190aa6930de3bf2f87f |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a75d16888190aad10857effd152d |
completed | April 8, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d6aa57c19c81909611162d1d067da8 |
completed | April 8, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6d02015bc8190a7041a7d725c8a1b |
completed | April 8, 2026, 10:01 p.m. |
Created at: March 30, 2026, 7:34 p.m.