Triple

T8066208
Position Surface form Disambiguated ID Type / Status
Subject District of Mittelsachsen E188248 entity
Predicate contains P35 FINISHED
Object Lunzenau
Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
E731643 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: Lunzenau | Statement: [District of Mittelsachsen, contains, Lunzenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunzenau
Context triple: [District of Mittelsachsen, contains, Lunzenau]
  • A. Luxenberg
    Luxenberg is an alternative spelling or variant form of the name "Luxemburg," which can refer to the European country Luxembourg or the surname of notable individuals such as revolutionary Rosa Luxemburg.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Fürstenau
    Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
  • D. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, 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: Lunzenau
Triple: [District of Mittelsachsen, contains, Lunzenau]
Generated description
Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lunzenau
Target entity description: Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
  • A. Luxenberg
    Luxenberg is an alternative spelling or variant form of the name "Luxemburg," which can refer to the European country Luxembourg or the surname of notable individuals such as revolutionary Rosa Luxemburg.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Fürstenau
    Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
  • D. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, 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_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_69ce020086788190be74e8e97d87013d completed April 2, 2026, 5:43 a.m.
NEDg Description generation batch_69ce064211e48190b558d4355be659ba completed April 2, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69ce07a390048190ac26a7e3d3d561e0 completed April 2, 2026, 6:07 a.m.
Created at: March 30, 2026, 5:26 p.m.