Triple
T14941455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Děčín |
E372539
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object |
Tetschen-Bodenbach
Tetschen-Bodenbach is the former German name for the Czech city of Děčín, a historic town in northern Bohemia near the German border.
|
E1138972
|
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: Tetschen-Bodenbach | Statement: [Děčín, hasGermanName, Tetschen-Bodenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tetschen-Bodenbach Context triple: [Děčín, hasGermanName, Tetschen-Bodenbach]
-
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.
Ebensfeld
Ebensfeld is a municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and location along the Main River.
-
C.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
D.
Wülknitz
Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
-
E.
Kretzschau
Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
- 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: Tetschen-Bodenbach Triple: [Děčín, hasGermanName, Tetschen-Bodenbach]
Generated description
Tetschen-Bodenbach is the former German name for the Czech city of Děčín, a historic town in northern Bohemia near the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tetschen-Bodenbach Target entity description: Tetschen-Bodenbach is the former German name for the Czech city of Děčín, a historic town in northern Bohemia near the German border.
-
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.
Ebensfeld
Ebensfeld is a municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and location along the Main River.
-
C.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
D.
Wülknitz
Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
-
E.
Kretzschau
Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7d554808190a0a87d9f5e225d31 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba8f952c819095598f6725f999c9 |
completed | May 9, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febaeca6748190a3dc6e2964611756 |
completed | May 9, 2026, 4:41 a.m. |
Created at: April 10, 2026, 2:38 a.m.