Triple

T23553583
Position Surface form Disambiguated ID Type / Status
Subject Springpfuhl E578118 entity
Predicate hasAddress P4379 FINISHED
Object Berlin-Marzahn, Berlin, Germany 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: Berlin-Marzahn, Berlin, Germany | Statement: [Springpfuhl, hasAddress, Berlin-Marzahn, Berlin, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin-Marzahn, Berlin, Germany
Context triple: [Springpfuhl, hasAddress, Berlin-Marzahn, Berlin, Germany]
  • A. Friedrichswerder, Berlin
    Friedrichswerder is a historic inner-city quarter of Berlin known for its 19th-century architecture and cultural landmarks near the city’s political and museum districts.
  • B. Berlin-Brandenburg, Germany
    Berlin-Brandenburg, Germany is a metropolitan region in northeastern Germany that includes the capital city of Berlin and the surrounding state of Brandenburg, serving as a major political, economic, and transportation hub.
  • C. Ludwigsfelde, Germany
    Ludwigsfelde, Germany is a town in the state of Brandenburg known for its significant automotive manufacturing industry, particularly commercial vehicle production.
  • D. Berlin-Rahnsdorf
    Berlin-Rahnsdorf is a lakeside locality in the eastern part of Berlin, Germany, known for its natural scenery, forests, and waterfront recreation areas.
  • E. Döberitz, Germany
    Döberitz, Germany is a locality historically known for its military airfield and role in early German aviation testing and development.
  • 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: Berlin-Marzahn, Berlin, Germany
Target entity description: Berlin-Marzahn is a large residential district in eastern Berlin, Germany, known for its extensive Plattenbau housing estates and the landscaped Gärten der Welt park.
  • A. Friedrichswerder, Berlin
    Friedrichswerder is a historic inner-city quarter of Berlin known for its 19th-century architecture and cultural landmarks near the city’s political and museum districts.
  • B. Berlin-Brandenburg, Germany
    Berlin-Brandenburg, Germany is a metropolitan region in northeastern Germany that includes the capital city of Berlin and the surrounding state of Brandenburg, serving as a major political, economic, and transportation hub.
  • C. Ludwigsfelde, Germany
    Ludwigsfelde, Germany is a town in the state of Brandenburg known for its significant automotive manufacturing industry, particularly commercial vehicle production.
  • D. Berlin-Rahnsdorf
    Berlin-Rahnsdorf is a lakeside locality in the eastern part of Berlin, Germany, known for its natural scenery, forests, and waterfront recreation areas.
  • E. Döberitz, Germany
    Döberitz, Germany is a locality historically known for its military airfield and role in early German aviation testing and development.
  • 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed17fc881908b45dcde14790d42 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.