Triple
T10634470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergkamen |
E250540
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Werne
Werne is a small town in North Rhine-Westphalia, Germany, known for its historic center and location along the Lippe River.
|
E881417
|
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: Werne | Statement: [Bergkamen, hasSubdivision, Werne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werne Context triple: [Bergkamen, hasSubdivision, Werne]
-
A.
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.
-
B.
Bocholt
Bocholt is a medium-sized German city in the state of North Rhine-Westphalia, known for its industrial heritage and proximity to the Dutch border.
-
C.
Bocholt
Bocholt is a municipality in the Belgian province of Limburg, known for its rural character and local brewing tradition.
-
D.
Schwelm
Schwelm is a small town in North Rhine-Westphalia, Germany, known as the administrative seat of the Ennepe-Ruhr district.
-
E.
Warendorf
Warendorf is a historic town in western Germany’s North Rhine-Westphalia, known for its well-preserved medieval old town and strong equestrian traditions.
- 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: Werne Triple: [Bergkamen, hasSubdivision, Werne]
Generated description
Werne is a small town in North Rhine-Westphalia, Germany, known for its historic center and location along the Lippe River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Werne Target entity description: Werne is a small town in North Rhine-Westphalia, Germany, known for its historic center and location along the Lippe River.
-
A.
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.
-
B.
Bocholt
Bocholt is a municipality in the Belgian province of Limburg, known for its rural character and local brewing tradition.
-
C.
Bocholt
Bocholt is a medium-sized German city in the state of North Rhine-Westphalia, known for its industrial heritage and proximity to the Dutch border.
-
D.
Schwelm
Schwelm is a small town in North Rhine-Westphalia, Germany, known as the administrative seat of the Ennepe-Ruhr district.
-
E.
Warendorf
Warendorf is a historic town in western Germany’s North Rhine-Westphalia, known for its well-preserved medieval old town and strong equestrian traditions.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfab47bc819086684edc1b6dce74 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbace2a5388190bb685d347dd8aa6c |
completed | April 12, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 8, 2026, 9:03 p.m.