Triple

T3337033
Position Surface form Disambiguated ID Type / Status
Subject Zurich Film Festival E70161 entity
Predicate venue P373 FINISHED
Object Zurich Opera House E70159 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: Zurich Opera House | Statement: [Zurich Film Festival, venue, Zurich Opera House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich Opera House
Context triple: [Zurich Film Festival, venue, Zurich Opera House]
  • A. Opernhaus Zürich chosen
    Opernhaus Zürich is a renowned opera house in Zurich, Switzerland, known for its high-caliber opera and ballet productions and its prominent role in the country’s cultural life.
  • B. Opernhaus
    Opernhaus is an underground rapid transit station on the Nuremberg U-Bahn network in Nuremberg, Germany.
  • C. Stadthaus Zürich
    Stadthaus Zürich is the historic city hall building in Zurich that serves as the central seat of the city’s political administration and government.
  • D. Grand Théâtre de Genève
    The Grand Théâtre de Genève is a major opera house and cultural landmark in Geneva, renowned for its opera, ballet, and classical music productions.
  • E. Gasteig cultural center
    The Gasteig cultural center is a major arts and education complex in Munich that hosts concerts, theater, film screenings, and houses institutions like the Munich Philharmonic and the city library.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bad97481909359e914d44a1a74 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3545cd3508190b3bb81de6feae66e completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:12 p.m.