Triple

T14125748
Position Surface form Disambiguated ID Type / Status
Subject Wupper basin E340025 entity
Predicate hasTributary P415 FINISHED
Object Kerspe
Kerspe is a river in North Rhine-Westphalia, Germany, that serves as a tributary within the Wupper river system.
 E1082589 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: Kerspe | Statement: [Wupper basin, hasTributary, Kerspe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kerspe
Context triple: [Wupper basin, hasTributary, Kerspe]
  • A. Ougrée
    Ougrée is a town in the Walloon region of Belgium that forms a sub-municipality of the industrial city of Seraing in the province of Liège.
  • B. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • C. Kerpen
    Kerpen is a town in North Rhine-Westphalia, Germany, known as the birthplace of Formula 1 champion Michael Schumacher and for its proximity to Cologne.
  • D. Tessenderlo
    Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
  • E. Estinnes
    Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
  • 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: Kerspe
Triple: [Wupper basin, hasTributary, Kerspe]
Generated description
Kerspe is a river in North Rhine-Westphalia, Germany, that serves as a tributary within the Wupper river system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kerspe
Target entity description: Kerspe is a river in North Rhine-Westphalia, Germany, that serves as a tributary within the Wupper river system.
  • A. Ougrée
    Ougrée is a town in the Walloon region of Belgium that forms a sub-municipality of the industrial city of Seraing in the province of Liège.
  • B. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • C. Kerpen
    Kerpen is a town in North Rhine-Westphalia, Germany, known as the birthplace of Formula 1 champion Michael Schumacher and for its proximity to Cologne.
  • D. Tessenderlo
    Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
  • E. Estinnes
    Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0a7a7c8190860d8ce47b5f0732 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce0dec2488190be9c24d3744e7243 completed May 7, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69fce206b0588190a0f4b24231d3c365 completed May 7, 2026, 7:03 p.m.
Created at: April 9, 2026, 10:22 p.m.