Triple

T13649689
Position Surface form Disambiguated ID Type / Status
Subject Krolloper E326696 entity
Predicate usedBy P260 FINISHED
Object Royal Opera of Berlin E34246 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: Royal Opera of Berlin | Statement: [Krolloper, usedBy, Royal Opera of Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Opera of Berlin
Context triple: [Krolloper, usedBy, Royal Opera of Berlin]
  • A. Deutsche Oper Berlin
    Deutsche Oper Berlin is one of Germany’s largest and most renowned opera houses, known for its grand productions and modernist architecture in Berlin.
  • B. Leipzig Opera
    Leipzig Opera is one of Germany’s oldest opera houses, renowned for its rich musical tradition and historic role in the development of European opera.
  • C. Berlin State Opera chosen
    The Berlin State Opera is one of Germany’s leading opera houses, renowned for its historic venue, world-class productions, and prominent role in Berlin’s cultural life.
  • D. Imperial Opera
    Imperial Opera was the principal state-run opera company of the Russian Empire, renowned for staging grand operatic productions under the auspices of the Russian Imperial Theatres.
  • E. Bavarian State Opera
    The Bavarian State Opera is one of Germany’s leading opera companies, renowned for its world-class productions and historic home at Munich’s National Theatre.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc608466c81908f6d2c9c92cc86aa completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78afbf8948190ad38ea7529e52f16 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.