Triple
T15898963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bautzen district |
E385533
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Räckelwitz
Räckelwitz is a small municipality in eastern Saxony, Germany, known for its strong Sorbian cultural presence and rural character.
|
E1228489
|
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: Räckelwitz | Statement: [Bautzen district, containsTown, Räckelwitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Räckelwitz Context triple: [Bautzen district, containsTown, Räckelwitz]
-
A.
Teuschnitz
Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
-
B.
Treuchtlingen
Treuchtlingen is a small town in the Bavarian region of Germany, known for its location in the Altmühl Valley and its role as a local railway junction and spa destination.
-
C.
Rathmannsdorf
Rathmannsdorf is a small municipality in the German state of Saxony, known for its location in the scenic Saxon Switzerland region.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Schöneck
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
- 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: Räckelwitz Triple: [Bautzen district, containsTown, Räckelwitz]
Generated description
Räckelwitz is a small municipality in eastern Saxony, Germany, known for its strong Sorbian cultural presence and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Räckelwitz Target entity description: Räckelwitz is a small municipality in eastern Saxony, Germany, known for its strong Sorbian cultural presence and rural character.
-
A.
Teuschnitz
Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
-
B.
Treuchtlingen
Treuchtlingen is a small town in the Bavarian region of Germany, known for its location in the Altmühl Valley and its role as a local railway junction and spa destination.
-
C.
Rathmannsdorf
Rathmannsdorf is a small municipality in the German state of Saxony, known for its location in the scenic Saxon Switzerland region.
-
D.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
E.
Schöneck
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
- 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_6a008a1f8d648190b9c6280b875a17e4 |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008ccaba388190afb9f17e20716d2e |
completed | May 10, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008d3c6fe081908c70e884eafb576f |
completed | May 10, 2026, 1:50 p.m. |
Created at: April 10, 2026, 4:51 a.m.