Triple
T15898939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bautzen district |
E385533
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Neschwitz
Neschwitz is a small municipality in the German state of Saxony, known for its rural character and proximity to the historic town of Bautzen.
|
E1183119
|
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: Neschwitz | Statement: [Bautzen district, containsTown, Neschwitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neschwitz Context triple: [Bautzen district, containsTown, Neschwitz]
-
A.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
-
B.
Santruschitz
Santruschitz is the family name of Hermine "Miep" Santruschitz, better known as Miep Gies, one of the Dutch citizens who helped hide Anne Frank and her family during World War II.
-
C.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
D.
Niedenstein
Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
-
E.
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.
- 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: Neschwitz Triple: [Bautzen district, containsTown, Neschwitz]
Generated description
Neschwitz is a small municipality in the German state of Saxony, known for its rural character and proximity to the historic town of Bautzen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neschwitz Target entity description: Neschwitz is a small municipality in the German state of Saxony, known for its rural character and proximity to the historic town of Bautzen.
-
A.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
-
B.
Santruschitz
Santruschitz is the family name of Hermine "Miep" Santruschitz, better known as Miep Gies, one of the Dutch citizens who helped hide Anne Frank and her family during World War II.
-
C.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
D.
Niedenstein
Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
-
E.
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.
- 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_69ffb04d4d1c819091d9b3357ca0deca |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb190ae4881909ac299dfa6e7d9b6 |
completed | May 9, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb25747148190bc96cf19acf85e29 |
completed | May 9, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:51 a.m.