Triple

T2098418
Position Surface form Disambiguated ID Type / Status
Subject La voix E37035 entity
Predicate usesVocalTechnique P9331 FINISHED
Object operatic singing 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: operatic singing | Statement: [La voix, usesVocalTechnique, operatic singing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesVocalTechnique
Context triple: [La voix, usesVocalTechnique, operatic singing]
  • A. vocalizationMethod chosen
    Indicates the manner or technique by which an entity produces a sound or vocal expression.
  • B. vocalizationCharacteristic
    Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
  • C. hasVocals
    Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
  • D. vocalForces
    Indicates a relationship where one entity uses vocal expression (such as speech, singing, or sound) to exert influence, pressure, or compulsion on another entity.
  • E. vocalization
    Indicates the act or manner of producing sounds or calls, typically as a means of communication.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9de75c81909770409b5ae62c24 completed March 7, 2026, 5:41 a.m.
PD Predicate disambiguation batch_69abb7b6274081909df36cd7a7c6a675 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.