Triple

T12158234
Position Surface form Disambiguated ID Type / Status
Subject Wurzen E289633 entity
Predicate hasSubdivision P747 FINISHED
Object Streuben
Streuben is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
E984619 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: Streuben | Statement: [Wurzen, hasSubdivision, Streuben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Streuben
Context triple: [Wurzen, hasSubdivision, Streuben]
  • A. Vohenstrauß
    Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
  • B. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Irschenberg
    Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
  • D. Appenweier
    Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
  • E. Gaisbach
    Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
  • 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: Streuben
Triple: [Wurzen, hasSubdivision, Streuben]
Generated description
Streuben is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Streuben
Target entity description: Streuben is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
  • A. Vohenstrauß
    Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
  • B. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Irschenberg
    Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
  • D. Appenweier
    Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
  • E. Gaisbach
    Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee46e608190ac824c3c8306013e completed May 2, 2026, 6:13 p.m.
NEDg Description generation batch_69f641a309cc8190b2403e62a6acfe58 completed May 2, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69f6427c162c8190ae2c027913d43b9e completed May 2, 2026, 6:29 p.m.
Created at: April 8, 2026, 9:50 p.m.