Triple

T22887657
Position Surface form Disambiguated ID Type / Status
Subject Bonn-Hardtberg borough hall E567647 entity
Predicate partOf P40 FINISHED
Object Hardtberg district NE NERFINISHED

How this triple was built (3 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: Hardtberg district | Statement: [Bonn-Hardtberg borough hall, partOf, Hardtberg district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardtberg district
Context triple: [Bonn-Hardtberg borough hall, partOf, Hardtberg district]
  • A. Kulmbach district
    Kulmbach district is a rural administrative district in northern Bavaria, Germany, known for its brewing tradition and location within the Upper Franconia region.
  • B. Aichach-Friedberg district
    Aichach-Friedberg is a rural district in the Bavarian region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to the city of Augsburg.
  • C. Eichsfeld district
    Eichsfeld district is a rural administrative district in northern Thuringia, Germany, known for its historically Catholic character within a largely Protestant region.
  • D. Ansbach district
    Ansbach district is a rural administrative district in the German state of Bavaria, surrounding but not including the city of Ansbach and known for its historic towns and Franconian countryside.
  • E. Haßberge district
    Haßberge district is a rural administrative district in northern Bavaria, Germany, known for its rolling hills, forests, and historic towns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hardtberg district
Target entity description: Hardtberg district is a borough of the German city of Bonn, known as a largely residential area that includes several neighborhoods and local administrative facilities.
  • A. Kulmbach district
    Kulmbach district is a rural administrative district in northern Bavaria, Germany, known for its brewing tradition and location within the Upper Franconia region.
  • B. Aichach-Friedberg district
    Aichach-Friedberg is a rural district in the Bavarian region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to the city of Augsburg.
  • C. Eichsfeld district
    Eichsfeld district is a rural administrative district in northern Thuringia, Germany, known for its historically Catholic character within a largely Protestant region.
  • D. Ansbach district
    Ansbach district is a rural administrative district in the German state of Bavaria, surrounding but not including the city of Ansbach and known for its historic towns and Franconian countryside.
  • E. Haßberge district
    Haßberge district is a rural administrative district in northern Bavaria, Germany, known for its rolling hills, forests, and historic towns.
  • F. None of above. chosen

Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc2adb4819081bce7e6849ba31a completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.