Triple
T10892350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinfurt (district) |
E257209
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Westerkappeln
Westerkappeln is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location near the city of Osnabrück.
|
E893285
|
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: Westerkappeln | Statement: [Steinfurt (district), contains, Westerkappeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westerkappeln Context triple: [Steinfurt (district), contains, Westerkappeln]
-
A.
Westkapelle
Westkapelle is a coastal village in the Dutch province of Zeeland, known for its dikes, beaches, and World War II history.
-
B.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
C.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
D.
Bovenkerk
Bovenkerk is a prominent historic church in the Dutch city of Kampen, known for its Gothic architecture and significant cultural and religious heritage.
-
E.
Bergeijk
Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
- 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: Westerkappeln Triple: [Steinfurt (district), contains, Westerkappeln]
Generated description
Westerkappeln is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location near the city of Osnabrück.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westerkappeln Target entity description: Westerkappeln is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location near the city of Osnabrück.
-
A.
Westkapelle
Westkapelle is a coastal village in the Dutch province of Zeeland, known for its dikes, beaches, and World War II history.
-
B.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
C.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
D.
Bovenkerk
Bovenkerk is a prominent historic church in the Dutch city of Kampen, known for its Gothic architecture and significant cultural and religious heritage.
-
E.
Bergeijk
Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2169ea02c8190addf125ec5adafe8 |
completed | April 17, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69e21d860d288190855ffbe60df50df9 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21f09be508190a7c497a7680cb59e |
completed | April 17, 2026, 11:52 a.m. |
Created at: April 8, 2026, 9:21 p.m.