Triple

T21579211
Position Surface form Disambiguated ID Type / Status
Subject Lorenz Adlon Esszimmer E532480 entity
Predicate neighborhood P988 FINISHED
Object Mitte 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: Mitte | Statement: [Lorenz Adlon Esszimmer, neighborhood, Mitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitte
Context triple: [Lorenz Adlon Esszimmer, neighborhood, Mitte]
  • A. Mitte
    Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
  • B. Mitte
    Mitte is the central urban district of Saarbrücken, Germany, encompassing much of the city’s administrative, commercial, and cultural core.
  • C. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • D. Mitte
    Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
  • E. Mitte
    Mitte is a central district of the German town of Schwerte, typically encompassing its historic core and main administrative and commercial areas.
  • 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: Mitte
Target entity description: Mitte is a central district of Berlin known for its historic landmarks, cultural institutions, and role as the city’s political and commercial core.
  • A. Mitte chosen
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • B. Mitte
    Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
  • C. Mitte
    Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
  • D. Mitte
    Mitte is the central urban district of Saarbrücken, Germany, encompassing much of the city’s administrative, commercial, and cultural core.
  • E. Mitte
    Mitte is a central district of the German town of Schwerte, typically encompassing its historic core and main administrative and commercial areas.
  • F. None of above.

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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5ac1048190aa45d7d3c780b5c9 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.