Triple
T11011713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloppenburg (district) |
E260262
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cappeln
Cappeln is a rural municipality in Lower Saxony, Germany, situated within the Cloppenburg district.
|
E899559
|
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: Cappeln | Statement: [Cloppenburg (district), hasMunicipality, Cappeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cappeln Context triple: [Cloppenburg (district), hasMunicipality, Cappeln]
-
A.
Kappeln
Kappeln is a small town in northern Germany known for its picturesque harbor on the Schlei inlet and its traditional herring fishery.
-
B.
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.
-
C.
Kapelle
Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
-
D.
Ostercappeln
Ostercappeln is a municipality in Lower Saxony, Germany, known for its rural character and location near the city of Osnabrück.
-
E.
Kappelrodeck
Kappelrodeck is a municipality in southwestern Germany known for its wine-growing tradition and scenic location at the edge of the Black Forest.
- 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: Cappeln Triple: [Cloppenburg (district), hasMunicipality, Cappeln]
Generated description
Cappeln is a rural municipality in Lower Saxony, Germany, situated within the Cloppenburg district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cappeln Target entity description: Cappeln is a rural municipality in Lower Saxony, Germany, situated within the Cloppenburg district.
-
A.
Kappeln
Kappeln is a small town in northern Germany known for its picturesque harbor on the Schlei inlet and its traditional herring fishery.
-
B.
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.
-
C.
Kapelle
Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
-
D.
Ostercappeln
Ostercappeln is a municipality in Lower Saxony, Germany, known for its rural character and location near the city of Osnabrück.
-
E.
Kappelrodeck
Kappelrodeck is a municipality in southwestern Germany known for its wine-growing tradition and scenic location at the edge of the Black Forest.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374ac78348190a8c0a5a7a736b24b |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.