Triple

T1594397
Position Surface form Disambiguated ID Type / Status
Subject Berlin State Opera E34246 entity
Predicate formerName P65 FINISHED
Object Preußische Staatsoper 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: Preußische Staatsoper | Statement: [Berlin State Opera, formerName, Preußische Staatsoper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preußische Staatsoper
Context triple: [Berlin State Opera, formerName, Preußische Staatsoper]
  • A. 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.
  • B. 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.
  • C. Vienna State Opera
    The Vienna State Opera is one of the world’s leading opera houses, renowned for its rich history, prestigious productions, and central role in Vienna’s classical music culture.
  • D. Opernhaus
    Opernhaus is an underground rapid transit station on the Nuremberg U-Bahn network in Nuremberg, Germany.
  • E. Konzerthaus Berlin
    Konzerthaus Berlin is a historic neoclassical concert hall on Berlin’s Gendarmenmarkt, renowned as one of the city’s premier venues for classical music performances.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092aed308190a0198a0fb977a9e5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad608dfc688190a81a502c810f67fb completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:27 p.m.