Triple

T14266436
Position Surface form Disambiguated ID Type / Status
Subject Stadtmitte U6 platform E353655 entity
Predicate locatedUnder P10157 FINISHED
Object Friedrichstraße E73425 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: Friedrichstraße | Statement: [Stadtmitte U6 platform, locatedUnder, Friedrichstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrichstraße
Context triple: [Stadtmitte U6 platform, locatedUnder, Friedrichstraße]
  • A. Friedrichstraße chosen
    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.
  • B. 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.
  • C. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • 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. Maximilianstraße
    Maximilianstraße is one of Munich’s most famous boulevards, known for its luxury boutiques, grand architecture, and cultural landmarks.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b3a76ac819088587b9fa560b6dc completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:09 a.m.