Triple

T12420565
Position Surface form Disambiguated ID Type / Status
Subject Leverkusen E296756 entity
Predicate hasDistrict P459 FINISHED
Object Bürrig
Bürrig is a residential district within the German city of Leverkusen, located in the state of North Rhine-Westphalia.
E980415 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: Bürrig | Statement: [Leverkusen, hasDistrict, Bürrig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bürrig
Context triple: [Leverkusen, hasDistrict, Bürrig]
  • A. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • B. Pelugo
    Pelugo is a small mountain village and municipality in the Trentino region of northern Italy, situated in the Val Rendena area of the Alps.
  • C. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • D. Carugo
    Carugo is a small municipality in the Province of Como in Lombardy, northern Italy.
  • E. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • 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: Bürrig
Triple: [Leverkusen, hasDistrict, Bürrig]
Generated description
Bürrig is a residential district within the German city of Leverkusen, located in the state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bürrig
Target entity description: Bürrig is a residential district within the German city of Leverkusen, located in the state of North Rhine-Westphalia.
  • A. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • B. Pelugo
    Pelugo is a small mountain village and municipality in the Trentino region of northern Italy, situated in the Val Rendena area of the Alps.
  • C. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • D. Carugo
    Carugo is a small municipality in the Province of Como in Lombardy, northern Italy.
  • E. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634933b9881909fd592ede7c3e49c completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:55 p.m.