Triple
T12158230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wurzen |
E289633
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
|
E980733
|
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: Kühnitzsch | Statement: [Wurzen, hasSubdivision, Kühnitzsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kühnitzsch Context triple: [Wurzen, hasSubdivision, Kühnitzsch]
-
A.
Ködnitz
Ködnitz is a small municipality in northern Bavaria, Germany, known for its rural character within the Franconian region.
-
B.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
C.
Klotzsch
Klotzsch is the standard botanical author abbreviation used to cite the works of German pharmacist and botanist Ernst Heinrich von Klotzsch in plant nomenclature.
-
D.
Irschenberg
Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
-
E.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
- 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: Kühnitzsch Triple: [Wurzen, hasSubdivision, Kühnitzsch]
Generated description
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kühnitzsch Target entity description: Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
A.
Ködnitz
Ködnitz is a small municipality in northern Bavaria, Germany, known for its rural character within the Franconian region.
-
B.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
C.
Klotzsch
Klotzsch is the standard botanical author abbreviation used to cite the works of German pharmacist and botanist Ernst Heinrich von Klotzsch in plant nomenclature.
-
D.
Irschenberg
Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
-
E.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63458b22c8190b2a7d4a9cd25dfe1 |
completed | May 2, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69f635f094e48190be7d86d1236058dc |
completed | May 2, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d727a08190882eec3fd664b64d |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:50 p.m.