Triple

T17917572
Position Surface form Disambiguated ID Type / Status
Subject Prenzlauer Berg E447971 entity
Predicate hasStreet P959 FINISHED
Object Danziger Straße 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: Danziger Straße | Statement: [Prenzlauer Berg, hasStreet, Danziger Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danziger Straße
Context triple: [Prenzlauer Berg, hasStreet, Danziger Straße]
  • A. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • B. Warschauer Straße
    Warschauer Straße is a major Berlin transport hub and station complex in the Friedrichshain district, serving both U-Bahn and S-Bahn lines near the East Side Gallery.
  • C. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • D. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • E. Mauerstraße
    Mauerstraße is a street in central Berlin, Germany, historically notable for running along the former course of the Berlin Wall near key government 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: Danziger Straße
Target entity description: Danziger Straße is a major thoroughfare in Berlin’s Prenzlauer Berg district, known for its mix of historic buildings, shops, bars, and tram lines.
  • A. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • B. Warschauer Straße
    Warschauer Straße is a major Berlin transport hub and station complex in the Friedrichshain district, serving both U-Bahn and S-Bahn lines near the East Side Gallery.
  • C. Hermannstraße
    Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
  • D. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • E. Mauerstraße
    Mauerstraße is a street in central Berlin, Germany, historically notable for running along the former course of the Berlin Wall near key government and commercial areas.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30778fc81908b5b2e308fb158a5 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.