Triple

T5832948
Position Surface form Disambiguated ID Type / Status
Subject Bockenheim E129394 entity
Predicate hasStreet P959 FINISHED
Object Leipziger Straße E553382 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: [Bockenheim, hasStreet, Leipziger Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipziger Straße
Context triple: [Bockenheim, hasStreet, Leipziger Straße]
  • A. 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.
  • B. Leipziger Straße chosen
    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. 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.
  • D. 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.
  • E. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346e6e9c8190a245e5d10595a68f completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfc62a5c81909fa28f08a49dc919 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:54 p.m.