Triple

T18151257
Position Surface form Disambiguated ID Type / Status
Subject Platz der Republik, Berlin E434505 entity
Predicate hasFormerName P65 FINISHED
Object Königsplatz 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: Königsplatz | Statement: [Platz der Republik, Berlin, hasFormerName, Königsplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Königsplatz
Context triple: [Platz der Republik, Berlin, hasFormerName, Königsplatz]
  • A. Königsplatz chosen
    Königsplatz is a historic square in Berlin that played a significant role in the city’s political and cultural life, especially during the 19th and early 20th centuries.
  • B. Königsplatz
    Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
  • C. Königsplatz
    Königsplatz is a historic square in Munich, Germany, renowned for its neoclassical architecture and prominent museums forming part of the city’s cultural district.
  • D. Karolinenplatz
    Karolinenplatz is a prominent square in central Munich, Germany, known for its circular layout and the Obelisk monument commemorating Bavarian soldiers who died in Napoleon’s Russian campaign.
  • E. Savignyplatz
    Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de38d4e08190bc4d430b70b7e288 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.