Triple

T17546621
Position Surface form Disambiguated ID Type / Status
Subject Akazienstraße E427341 entity
Predicate nearbyStation P4625 FINISHED
Object U Eisenacher 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: U Eisenacher Straße | Statement: [Akazienstraße, nearbyStation, U Eisenacher Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U Eisenacher Straße
Context triple: [Akazienstraße, nearbyStation, U Eisenacher Straße]
  • A. Eisenacher Straße chosen
    Eisenacher Straße is a street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés in the Schöneberg district.
  • B. Spichernstraße
    Spichernstraße is a Berlin U-Bahn station that serves as an interchange point on the city's underground network.
  • C. Oranienburger Straße
    Oranienburger Straße is a well-known street in central Berlin, Germany, noted for its historic architecture, vibrant nightlife, and cultural landmarks such as the New Synagogue.
  • D. Nürnberger Straße
    Nürnberger Straße is a central Berlin street in the Schöneberg/Charlottenburg area, known for its proximity to major shopping and transport hubs like Wittenbergplatz and the Kurfürstendamm.
  • E. Eichhornstraße
    Eichhornstraße is a street in central Berlin, Germany, located near Leipziger Platz in the city’s historic and commercial district.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.