Triple
T11360069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buchholz in der Nordheide |
E269061
|
entity |
| Predicate | hasNeighbouringCity |
P3883
|
FINISHED |
| Object |
Jesteburg
Jesteburg is a small municipality in Lower Saxony, Germany, known for its scenic location in the Nordheide region and its residential, village-like character.
|
E920992
|
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: Jesteburg | Statement: [Buchholz in der Nordheide, hasNeighbouringCity, Jesteburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesteburg Context triple: [Buchholz in der Nordheide, hasNeighbouringCity, Jesteburg]
-
A.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
B.
Judenburg
Judenburg is a historic town in the Austrian state of Styria, known for its medieval architecture and former role as an important trading center.
-
C.
Neidenburg
Neidenburg is the former German name for the town of Nidzica in northern Poland, historically part of East Prussia.
-
D.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
- 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: Jesteburg Triple: [Buchholz in der Nordheide, hasNeighbouringCity, Jesteburg]
Generated description
Jesteburg is a small municipality in Lower Saxony, Germany, known for its scenic location in the Nordheide region and its residential, village-like character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jesteburg Target entity description: Jesteburg is a small municipality in Lower Saxony, Germany, known for its scenic location in the Nordheide region and its residential, village-like character.
-
A.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
B.
Judenburg
Judenburg is a historic town in the Austrian state of Styria, known for its medieval architecture and former role as an important trading center.
-
C.
Neidenburg
Neidenburg is the former German name for the town of Nidzica in northern Poland, historically part of East Prussia.
-
D.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea42fe608190b9c71dd63f8780f3 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543bdd6d88190b4f816ffde5179be |
completed | April 19, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69e5474b77948190b2c45831871383e8 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54efda820819092d6a94fa4fd21f0 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 8, 2026, 9:33 p.m.