Triple

T9179561
Position Surface form Disambiguated ID Type / Status
Subject Bottrop E220286 entity
Predicate hasDistrict P459 FINISHED
Object Bottrop-Süd
Bottrop-Süd is a southern district of the city of Bottrop in North Rhine-Westphalia, Germany, characterized by its mix of residential areas and former industrial sites.
 E220286 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: Bottrop-Süd | Statement: [Bottrop, hasDistrict, Bottrop-Süd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bottrop-Süd
Context triple: [Bottrop, hasDistrict, Bottrop-Süd]
  • A. Bottrop
    Bottrop is a city in western Germany’s Ruhr area, historically shaped by coal mining and industry.
  • B. Elberfeld
    Elberfeld is a historic district of the German city of Wuppertal in North Rhine-Westphalia, known for its 19th-century architecture and early industrial development.
  • C. Waldbröl
    Waldbröl is a small town in North Rhine-Westphalia, Germany, known for its rural setting in the Bergisches Land region.
  • D. Bergkamen
    Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
  • E. Erkrath
    Erkrath is a town in the German state of North Rhine-Westphalia, situated near Düsseldorf in the district of Mettmann.
  • 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: Bottrop-Süd
Triple: [Bottrop, hasDistrict, Bottrop-Süd]
Generated description
Bottrop-Süd is a southern district of the city of Bottrop in North Rhine-Westphalia, Germany, characterized by its mix of residential areas and former industrial sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bottrop-Süd
Target entity description: Bottrop-Süd is a southern district of the city of Bottrop in North Rhine-Westphalia, Germany, characterized by its mix of residential areas and former industrial sites.
  • A. Bottrop chosen
    Bottrop is a city in western Germany’s Ruhr area, historically shaped by coal mining and industry.
  • B. Elberfeld
    Elberfeld is a historic district of the German city of Wuppertal in North Rhine-Westphalia, known for its 19th-century architecture and early industrial development.
  • C. Waldbröl
    Waldbröl is a small town in North Rhine-Westphalia, Germany, known for its rural setting in the Bergisches Land region.
  • D. Bergkamen
    Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
  • E. Erkrath
    Erkrath is a town in the German state of North Rhine-Westphalia, situated near Düsseldorf in the district of Mettmann.
  • F. None of above.

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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25064588190856c96b229d9cd60 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0eeb0c8190a5a22c662726805c completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cec61908190ae783af982db4170 completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05dbf1ce081908d5c8168a9315942 completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:23 p.m.