Triple

T10745966
Position Surface form Disambiguated ID Type / Status
Subject Siebengebirge region E253449 entity
Predicate contains P35 FINISHED
Object Wolkenburg
Wolkenburg is a prominent hill in Germany’s Siebengebirge range, known for its volcanic origin and scenic views over the Rhine Valley.
 E883901 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: Wolkenburg | Statement: [Siebengebirge region, contains, Wolkenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolkenburg
Context triple: [Siebengebirge region, contains, Wolkenburg]
  • A. Oudenburg
    Oudenburg is a small historic town in the Belgian province of West Flanders, known for its Roman heritage and medieval abbey.
  • B. Lingewaal
    Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
  • C. Zwanenburg
    Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • 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: Wolkenburg
Triple: [Siebengebirge region, contains, Wolkenburg]
Generated description
Wolkenburg is a prominent hill in Germany’s Siebengebirge range, known for its volcanic origin and scenic views over the Rhine Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolkenburg
Target entity description: Wolkenburg is a prominent hill in Germany’s Siebengebirge range, known for its volcanic origin and scenic views over the Rhine Valley.
  • A. Oudenburg
    Oudenburg is a small historic town in the Belgian province of West Flanders, known for its Roman heritage and medieval abbey.
  • B. Lingewaal
    Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
  • C. Zwanenburg
    Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b77c4881909d16c6e82a9b86ca completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de230b461c81909a98085079676b95 completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.