Triple

T20714217
Position Surface form Disambiguated ID Type / Status
Subject Opera North E509126 entity
Predicate shortName P43 FINISHED
Object Opera North 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: Opera North | Statement: [Opera North, shortName, Opera North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera North
Context triple: [Opera North, shortName, Opera North]
  • A. Opera North chosen
    Opera North is a leading British opera company based in Leeds, renowned for its innovative productions and extensive touring across the UK.
  • B. English National Opera
    English National Opera is a major London-based opera company known for performing a wide-ranging repertoire in English and making opera accessible to broad audiences.
  • C. Scottish Opera
    Scottish Opera is Scotland's national opera company, renowned for producing and touring a wide repertoire of operatic works across the country.
  • D. Welsh National Opera
    Welsh National Opera is a major national opera company based in Wales, renowned for its high-quality productions and tours across the United Kingdom and internationally.
  • E. D'Oyly Carte Opera Company
    The D'Oyly Carte Opera Company was a British theatrical company best known for producing and popularizing the comic operas of Gilbert and Sullivan from the late 19th century into the 20th century.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d001788190a524a17347f9de67 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:15 p.m.