Triple
T15898958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bautzen district |
E385533
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Malschwitz
Malschwitz is a municipality in eastern Saxony, Germany, known for its rural character and location within the culturally rich Lusatia region.
|
E1199719
|
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: Malschwitz | Statement: [Bautzen district, containsTown, Malschwitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malschwitz Context triple: [Bautzen district, containsTown, Malschwitz]
-
A.
Loschwitz
Loschwitz is a historic district of Dresden, Germany, known for its picturesque hillside location along the Elbe River and its association with notable 19th-century cultural figures.
-
B.
Teuschnitz
Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
-
C.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
-
D.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
-
E.
Olbernhau
Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
- 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: Malschwitz Triple: [Bautzen district, containsTown, Malschwitz]
Generated description
Malschwitz is a municipality in eastern Saxony, Germany, known for its rural character and location within the culturally rich Lusatia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malschwitz Target entity description: Malschwitz is a municipality in eastern Saxony, Germany, known for its rural character and location within the culturally rich Lusatia region.
-
A.
Loschwitz
Loschwitz is a historic district of Dresden, Germany, known for its picturesque hillside location along the Elbe River and its association with notable 19th-century cultural figures.
-
B.
Teuschnitz
Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
-
C.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
-
D.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
-
E.
Olbernhau
Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563bd0688190b6f7a695be0a4625 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee76e9481908e74c32cb8263875 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a00036dc34c8190b485267687f0a7f8 |
completed | May 10, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0003c6e65881909dc4cc3398690455 |
completed | May 10, 2026, 4:04 a.m. |
Created at: April 10, 2026, 4:51 a.m.