Triple
T15538804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogtlandkreis |
E370419
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Netzschkau
Netzschkau is a small town in the Vogtland region of Saxony in eastern Germany, known for its historic castle and scenic surroundings.
|
E1193610
|
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: Netzschkau | Statement: [Vogtlandkreis, contains, Netzschkau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Netzschkau Context triple: [Vogtlandkreis, contains, Netzschkau]
-
A.
Weinböhla
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Riederau
Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
- 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: Netzschkau Triple: [Vogtlandkreis, contains, Netzschkau]
Generated description
Netzschkau is a small town in the Vogtland region of Saxony in eastern Germany, known for its historic castle and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Netzschkau Target entity description: Netzschkau is a small town in the Vogtland region of Saxony in eastern Germany, known for its historic castle and scenic surroundings.
-
A.
Weinböhla
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Riederau
Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04430b5188190a555a3cd4fb0c61c |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb7c2a6081908e957d39ec056062 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec06b344819093f164f15f104717 |
completed | May 10, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffec9fc93881909b80bbfe324ebc2c |
completed | May 10, 2026, 2:25 a.m. |
Created at: April 10, 2026, 4:07 a.m.