Triple

T7401070
Position Surface form Disambiguated ID Type / Status
Subject Leipziger Platz E170748 entity
Predicate locatedOn P40 FINISHED
Object Leipziger Straße E366945 NE FINISHED

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: Leipziger Straße | Statement: [Leipziger Platz, locatedOn, Leipziger Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipziger Straße
Context triple: [Leipziger Platz, locatedOn, Leipziger Straße]
  • A. Leipziger Straße chosen
    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.
  • B. 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.
  • 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. Eisenacher Straße
    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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24f6b7c81908cb61395239d03a0 completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.