Triple
T9282215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aachen district (Städteregion Aachen) |
E223095
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alsdorf
Alsdorf is a town in western Germany’s North Rhine-Westphalia, historically shaped by coal mining and now part of the Aachen city region.
|
E845345
|
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: Alsdorf | Statement: [Aachen district (Städteregion Aachen), contains, Alsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alsdorf Context triple: [Aachen district (Städteregion Aachen), contains, Alsdorf]
-
A.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
B.
Wermsdorf
Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
-
C.
Apfeldorf
Apfeldorf is a small municipality in the district of Weilheim-Schongau in Bavaria, Germany, known for its rural character and scenic Upper Bavarian landscape.
-
D.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
E.
Raesfeld
Raesfeld is a municipality in western Germany’s North Rhine-Westphalia, known for its historic moated castle and rural surroundings.
- 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: Alsdorf Triple: [Aachen district (Städteregion Aachen), contains, Alsdorf]
Generated description
Alsdorf is a town in western Germany’s North Rhine-Westphalia, historically shaped by coal mining and now part of the Aachen city region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alsdorf Target entity description: Alsdorf is a town in western Germany’s North Rhine-Westphalia, historically shaped by coal mining and now part of the Aachen city region.
-
A.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
B.
Wermsdorf
Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
-
C.
Apfeldorf
Apfeldorf is a small municipality in the district of Weilheim-Schongau in Bavaria, Germany, known for its rural character and scenic Upper Bavarian landscape.
-
D.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
E.
Raesfeld
Raesfeld is a municipality in western Germany’s North Rhine-Westphalia, known for its historic moated castle and rural surroundings.
- 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_69d2ffd03dac81909f6c91afb8d49521 |
completed | April 6, 2026, 12:35 a.m. |
| NEDg | Description generation | batch_69d301dd614481909b357f319ba5e876 |
completed | April 6, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d302978e808190a9f5371a2bf4abce |
completed | April 6, 2026, 12:47 a.m. |
Created at: March 30, 2026, 7:34 p.m.