Triple

T31490508
Position Surface form Disambiguated ID Type / Status
Subject WWV 86A E803391 entity
Predicate hasKeyMotifs P41002 FINISHED
Object Rheingold motif 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: Rheingold motif | Statement: [WWV 86A, hasKeyMotifs, Rheingold motif]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyMotifs
Context triple: [WWV 86A, hasKeyMotifs, Rheingold motif]
  • A. usesMotifsFrom
    Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
  • B. featuresMotif chosen
    Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
  • C. hasMirrorMotif
    Indicates that one entity features a mirror-related motif or pattern in relation to another entity or context.
  • D. hasClosingMotif
    Indicates that one entity features or is associated with a recurring thematic or structural pattern used at the end or conclusion of another entity.
  • E. hasMotivicFunction
    Indicates that one musical element serves a specific thematic or structural role in relation to a larger motive or passage.
  • 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_69f348ca04508190ba9379b5329dfd75 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f7764ab1fc81909f9348db87bd7692 completed May 3, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69f76905d9c88190b1ee810bc9ab644f completed May 3, 2026, 3:25 p.m.
Created at: April 30, 2026, 9:38 p.m.