Triple
T21287758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diepholz district |
E524705
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Siedenburg
Siedenburg is a small municipality in Lower Saxony, Germany, situated within the rural Diepholz district.
|
E1479698
|
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: Siedenburg | Statement: [Diepholz district, contains, Siedenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siedenburg Context triple: [Diepholz district, contains, Siedenburg]
-
A.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
B.
Sennfeld
Sennfeld is a municipality in the Schweinfurt district of Bavaria, Germany, known for its traditional Franconian character and proximity to the city of Schweinfurt.
-
C.
Stollberg
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
-
D.
Neidenburg
Neidenburg is the former German name for the town of Nidzica in northern Poland, historically part of East Prussia.
-
E.
Mengerhausen
Mengerhausen is a locality in Germany known primarily as the place where the screenwriter Franz Schulz died.
- 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: Siedenburg Triple: [Diepholz district, contains, Siedenburg]
Generated description
Siedenburg is a small municipality in Lower Saxony, Germany, situated within the rural Diepholz district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siedenburg Target entity description: Siedenburg is a small municipality in Lower Saxony, Germany, situated within the rural Diepholz district.
-
A.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
B.
Sennfeld
Sennfeld is a municipality in the Schweinfurt district of Bavaria, Germany, known for its traditional Franconian character and proximity to the city of Schweinfurt.
-
C.
Stollberg
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
-
D.
Neidenburg
Neidenburg is the former German name for the town of Nidzica in northern Poland, historically part of East Prussia.
-
E.
Mengerhausen
Mengerhausen is a locality in Germany known primarily as the place where the screenwriter Franz Schulz died.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad4f6ed081909079bf3b78a64b24 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ade09c0081908ec1962de430a6e8 |
completed | May 17, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_6a09ae91d9cc8190a677124f1a0e1e4e |
completed | May 17, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:03 p.m.