Triple

T19930505
Position Surface form Disambiguated ID Type / Status
Subject Quartier Schützenstrasse, Berlin E479038 entity
Predicate street P959 FINISHED
Object Charlottenstrasse 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: Charlottenstrasse | Statement: [Quartier Schützenstrasse, Berlin, street, Charlottenstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlottenstrasse
Context triple: [Quartier Schützenstrasse, Berlin, street, Charlottenstrasse]
  • A. Charlottenstraße chosen
    Charlottenstraße is a central street in Berlin’s historic Mitte district, running near landmarks such as Gendarmenmarkt and lined with shops, offices, and historic buildings.
  • B. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • C. Georgstrasse
    Georgstrasse is a prominent shopping and commercial street in the center of Hanover, Germany, known for its retail stores, cafes, and historic urban setting.
  • D. 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.
  • E. Luxemburger Straße
    Luxemburger Straße is a street located near Leopoldplatz in Berlin, Germany.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a13265c8190bc01d3af5bd658d7 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.