Triple

T12877902
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Weinböhla
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
E1063898 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: Weinböhla | Statement: [Leipzig metropolitan region, containsCity, Weinböhla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinböhla
Context triple: [Leipzig metropolitan region, containsCity, Weinböhla]
  • A. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • B. Droyßig
    Droyßig is a small municipality in the Burgenlandkreis district of Saxony-Anhalt, Germany, known for its historic castle and location within the broader Leipzig metropolitan area.
  • C. Kühnitzsch
    Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • D. Buxach
    Buxach is a small river in Bavaria, Germany, that flows through the town of Memmingen.
  • E. Peißenberg
    Peißenberg is a municipality in Bavaria, Germany, situated in the foothills of the Alps and known for its former coal mining industry and scenic rural surroundings.
  • 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: Weinböhla
Triple: [Leipzig metropolitan region, containsCity, Weinböhla]
Generated description
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weinböhla
Target entity description: Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
  • A. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • B. Droyßig
    Droyßig is a small municipality in the Burgenlandkreis district of Saxony-Anhalt, Germany, known for its historic castle and location within the broader Leipzig metropolitan area.
  • C. Kühnitzsch
    Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • D. Buxach
    Buxach is a small river in Bavaria, Germany, that flows through the town of Memmingen.
  • E. Peißenberg
    Peißenberg is a municipality in Bavaria, Germany, situated in the foothills of the Alps and known for its former coal mining industry and scenic rural surroundings.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8be7834819085bfce037c467004 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d773f881908660e8a0645d318d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf713ac81908d9447100901c41f completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 5:38 p.m.