Triple

T8602575
Position Surface form Disambiguated ID Type / Status
Subject Humoreske in B-flat major, Op. 20 E203713 entity
Predicate expressiveMarkingsLanguage P83111 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: [Humoreske in B-flat major, Op. 20, expressiveMarkingsLanguage, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: expressiveMarkingsLanguage
Context triple: [Humoreske in B-flat major, Op. 20, expressiveMarkingsLanguage, German]
  • A. languageOfTempoMarkings chosen
    Indicates the language in which the tempo markings of a musical work or score are written.
  • B. hasExpressivity
    Indicates that one entity possesses a certain level or type of expressive power, capability, or richness in representation relative to another.
  • C. expressivePower
    Indicates the degree to which one system, language, or formalism can represent or capture the behaviors, structures, or concepts expressible in another.
  • D. linguisticFeature
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • E. musicalSymbol
    Indicates that one entity is a musical notation mark or sign associated with another entity in a musical context.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46da609881909a6d851915e8df14 completed March 31, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69cc454eb2908190acf0e4336bc67e7b completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:24 p.m.