Triple

T22929996
Position Surface form Disambiguated ID Type / Status
Subject Frankfurter Tor U-Bahn station E569408 entity
Predicate formerName P65 FINISHED
Object Petersburger 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: Petersburger Straße | Statement: [Frankfurter Tor U-Bahn station, formerName, Petersburger Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petersburger Straße
Context triple: [Frankfurter Tor U-Bahn station, formerName, Petersburger Straße]
  • A. Petersburger Straße chosen
    Petersburger Straße is a major street in Berlin’s Friedrichshain district, known for its postwar urban layout and connection to key squares and transport hubs.
  • B. Petersbergstraße
    Petersbergstraße is the access road leading up to the Petersberg mountain in the Siebengebirge range near Bonn, Germany.
  • C. Barer Straße
    Barer Straße is a prominent street in Munich known for running through the Kunstareal museum quarter and providing access to several major art and cultural institutions.
  • D. Leipziger Straße
    Leipziger Straße is a major historic thoroughfare in central Berlin, known for its government buildings, commercial centers, and role in the city’s urban core.
  • E. Leipziger Straße
    Leipziger Straße is a major shopping and commercial street in Frankfurt’s Bockenheim district, known for its dense mix of retail, services, and local urban life.
  • 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.