Triple

T16224968
Position Surface form Disambiguated ID Type / Status
Subject Ortsbezirk 1 Innenstadt E393820 entity
Predicate contains P35 FINISHED
Object Opernplatz E443396 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: Opernplatz | Statement: [Ortsbezirk 1 Innenstadt, contains, Opernplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opernplatz
Context triple: [Ortsbezirk 1 Innenstadt, contains, Opernplatz]
  • A. Opernplatz chosen
    Opernplatz is a prominent public square in central Frankfurt am Main, Germany, known especially for hosting the historic Alte Oper concert hall.
  • B. Rathausplatz
    Rathausplatz is a prominent public square in Vienna, Austria, located in front of the city hall and known for major events such as festivals, markets, and open-air concerts.
  • C. Theaterplatz
    Theaterplatz is a prominent public square in Dresden, Germany, known for its ensemble of historic buildings and cultural landmarks, including the Semperoper opera house.
  • D. Stephansplatz
    Stephansplatz is the central square of Vienna, Austria, known for its historic architecture and as the site of St. Stephen's Cathedral.
  • 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 (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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d24f9688190b670cfeb73332293 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139e380bc81908452f6e8666f23ad completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:03 a.m.