Triple

T8066172
Position Surface form Disambiguated ID Type / Status
Subject Trebsen E188247 entity
Predicate hasSubdivision P747 FINISHED
Object Pauschwitz
Pauschwitz is a small locality that forms part of the town of Trebsen in the German state of Saxony.
E722460 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: Pauschwitz | Statement: [Trebsen, hasSubdivision, Pauschwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pauschwitz
Context triple: [Trebsen, hasSubdivision, Pauschwitz]
  • A. Markranstädt
    Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
  • B. Kreuzau
    Kreuzau is a municipality in the Düren district of North Rhine-Westphalia, western Germany, known for its rural character and proximity to the Eifel region.
  • C. Dömitz
    Dömitz is a small historic town in northern Germany, known for its well-preserved fortress and location on the Elbe River near the former inner-German border.
  • D. Dennewitz
    Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
  • E. Lusatian Neisse
    The Lusatian Neisse is a river in Central Europe that flows through the Czech Republic, Germany, and Poland, forming part of the German–Polish border.
  • 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: Pauschwitz
Triple: [Trebsen, hasSubdivision, Pauschwitz]
Generated description
Pauschwitz is a small locality that forms part of the town of Trebsen in the German state of Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pauschwitz
Target entity description: Pauschwitz is a small locality that forms part of the town of Trebsen in the German state of Saxony.
  • A. Markranstädt
    Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
  • B. Kreuzau
    Kreuzau is a municipality in the Düren district of North Rhine-Westphalia, western Germany, known for its rural character and proximity to the Eifel region.
  • C. Dömitz
    Dömitz is a small historic town in northern Germany, known for its well-preserved fortress and location on the Elbe River near the former inner-German border.
  • D. Dennewitz
    Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
  • E. Lusatian Neisse
    The Lusatian Neisse is a river in Central Europe that flows through the Czech Republic, Germany, and Poland, forming part of the German–Polish border.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff5547c8190a7ec5958a23e302f completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6769c6948190805188b09c16bed4 completed April 1, 2026, 6:43 p.m.
NEDg Description generation batch_69cd6d4fa17481909f28ad7eb9bceb42 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7da4f3a0819080eed3d03c293789 completed April 1, 2026, 8:18 p.m.
Created at: March 30, 2026, 5:26 p.m.