Triple
T9282216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aachen district (Städteregion Aachen) |
E223095
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Baesweiler
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
|
E791337
|
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: Baesweiler | Statement: [Aachen district (Städteregion Aachen), contains, Baesweiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baesweiler Context triple: [Aachen district (Städteregion Aachen), contains, Baesweiler]
-
A.
Neuß
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
-
B.
Butschbach
Butschbach is a small locality or district that forms part of the town of Oberkirch in southwestern Germany.
-
C.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
D.
Flaxweiler
Flaxweiler is a small rural commune in eastern Luxembourg known for its agricultural landscape and proximity to the Moselle wine region.
-
E.
Eschweiler
Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
- 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: Baesweiler Triple: [Aachen district (Städteregion Aachen), contains, Baesweiler]
Generated description
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baesweiler Target entity description: Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
-
A.
Neuß
Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
-
B.
Butschbach
Butschbach is a small locality or district that forms part of the town of Oberkirch in southwestern Germany.
-
C.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
D.
Flaxweiler
Flaxweiler is a small rural commune in eastern Luxembourg known for its agricultural landscape and proximity to the Moselle wine region.
-
E.
Eschweiler
Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
- 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_69d0c750723c8190b874aa238d01d658 |
completed | April 4, 2026, 8:09 a.m. |
| NEDg | Description generation | batch_69d0c8a7190c819097e71c15f7924268 |
completed | April 4, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c9e7e7d08190bddc6786f0fcea9e |
completed | April 4, 2026, 8:20 a.m. |
Created at: March 30, 2026, 7:34 p.m.