Triple

T939164
Position Surface form Disambiguated ID Type / Status
Subject Auswärtiges Amt E20264 entity
Predicate streetAddress P606 FINISHED
Object Werderscher Markt 1 E81639 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: Werderscher Markt 1 | Statement: [Auswärtiges Amt, streetAddress, Werderscher Markt 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werderscher Markt 1
Context triple: [Auswärtiges Amt, streetAddress, Werderscher Markt 1]
  • A. Werderscher Markt 1, Berlin chosen
    Werderscher Markt 1 in Berlin is the historic government complex that serves as the headquarters of Germany’s Federal Foreign Office.
  • B. Grüner Markt
    Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
  • C. Nollendorfplatz area
    The Nollendorfplatz area is a lively Berlin neighborhood known for its historic square, vibrant LGBTQ+ scene, and mix of nightlife, cafés, and cultural venues.
  • D. Potsdamer Platz
    Potsdamer Platz is a major public square and traffic intersection in central Berlin that became a symbol of the city's reunification and modern redevelopment after the Cold War.
  • E. Pankow
    Pankow is a northeastern borough of Berlin known for its mix of historic neighborhoods, green spaces, and the popular district of Prenzlauer Berg.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b38a3ad4819080d71849e822a12a completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e0dd188190bf5776a6e4525fdd completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.