Triple

T23680332
Position Surface form Disambiguated ID Type / Status
Subject Motetti a cinque voci E585000 entity
Predicate voiceCount P42293 FINISHED
Object 5 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: 5 | Statement: [Motetti a cinque voci, voiceCount, 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voiceCount
Context triple: [Motetti a cinque voci, voiceCount, 5]
  • A. typicalNumberOfVoices chosen
    Indicates the usual or characteristic number of distinct voices or parts involved in performing or realizing something (such as a musical work or texture).
  • B. hasNumberOfSpeakersCategory
    Indicates a classification of an entity based on the number of speakers associated with it, typically grouping it into predefined size categories.
  • C. hasVoices
    Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
  • D. toneCount
    Indicates the number of distinct tones or tonal elements associated with an entity or expression.
  • E. hasVoiceIn
    Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
  • 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_69e24901f7c08190909fd727632e823d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b4f73148819089fa0c1a437f91fe completed April 29, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f118dd13008190a8799b4e9cadbd79 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:51 p.m.