Triple

T22929944
Position Surface form Disambiguated ID Type / Status
Subject Frankfurter Tor E569407 entity
Predicate locatedOn P40 FINISHED
Object Warschauer Straße NE NERFINISHED

How this triple was built (2 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: Warschauer Straße | Statement: [Frankfurter Tor, locatedOn, Warschauer Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warschauer Straße
Context triple: [Frankfurter Tor, locatedOn, Warschauer Straße]
  • A. Warschauer Straße chosen
    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.
  • B. Danziger Straße
    Danziger Straße is a major thoroughfare in Berlin’s Prenzlauer Berg district, known for its mix of historic buildings, shops, bars, and tram lines.
  • C. Prager Straße
    Prager Straße is a major shopping and pedestrian street in Dresden, Germany, known for its postwar modernist architecture and central commercial role.
  • D. Berliner Straße
    Berliner Straße is a central street in the historic city of Görlitz, Germany, known for its traditional urban architecture and role as a key thoroughfare near the Obermarkt.
  • E. Berliner Straße
    Berliner Straße is a major Berlin U-Bahn station complex in the district of Wilmersdorf, serving as a key transfer point between multiple subway lines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180dc33e8819099e5ad87207de57f completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:44 p.m.