Triple
T12158221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wurzen |
E289633
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
|
E969697
|
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: Nitzschka | Statement: [Wurzen, hasSubdivision, Nitzschka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nitzschka Context triple: [Wurzen, hasSubdivision, Nitzschka]
-
A.
Nitschke
Nitschke is a surname most famously associated with Ray Nitschke, the Hall of Fame linebacker for the Green Bay Packers in the National Football League.
-
B.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
C.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
-
D.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
-
E.
Benno
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
- 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: Nitzschka Triple: [Wurzen, hasSubdivision, Nitzschka]
Generated description
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nitzschka Target entity description: Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
-
A.
Nitschke
Nitschke is a surname most famously associated with Ray Nitschke, the Hall of Fame linebacker for the Green Bay Packers in the National Football League.
-
B.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
C.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
-
D.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
-
E.
Benno
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
- 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_69f60a837a5881908c600be0be334269 |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdb39f48190ad6bc51db6c34163 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d4c30448190874f253b864ef61e |
completed | May 2, 2026, 2:42 p.m. |
Created at: April 8, 2026, 9:50 p.m.