Triple

T11912740
Position Surface form Disambiguated ID Type / Status
Subject Leonore Overture No. 2 E283434 entity
Predicate languageOfAssociatedOpera P78807 FINISHED
Object German LITERAL 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: German | Statement: [Leonore Overture No. 2, languageOfAssociatedOpera, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfAssociatedOpera
Context triple: [Leonore Overture No. 2, languageOfAssociatedOpera, German]
  • A. associatedOpera
    Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
  • B. nationalityInOpera
    Indicates that an opera character or figure is portrayed as having a particular nationality within the context of the opera.
  • C. originalLanguageOfLibretto chosen
    Indicates the language in which a libretto was originally written for a given work.
  • D. operaAct
    Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
  • E. languageOfMusic
    Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
  • F. None of above.

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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e528f6748190ac873a040a61fa93 completed April 10, 2026, 11:55 a.m.
PD Predicate disambiguation batch_69d8bb3632ac8190b13e53c2b5db7125 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.