Triple

T8994723
Position Surface form Disambiguated ID Type / Status
Subject Operalia, The World Opera Competition E214873 entity
Predicate voiceTypesCompeted P2000 FINISHED
Object soprano 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: soprano | Statement: [Operalia, The World Opera Competition, voiceTypesCompeted, soprano]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voiceTypesCompeted
Context triple: [Operalia, The World Opera Competition, voiceTypesCompeted, soprano]
  • A. competedAs
    Indicates that an entity participated in a competition or contest in the role, category, or capacity specified by another entity.
  • B. voiceType chosen
    Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
  • C. hasVoices
    Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
  • D. competedFor
    Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
  • E. speakerType
    Indicates the role or category of a participant in a communicative act (e.g., narrator, quoted speaker, system voice) within a given 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68ddff288190869731df2c178ff6 completed April 1, 2026, 12:37 a.m.
PD Predicate disambiguation batch_69cc5edba0f88190b97401636a076d7a completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:04 p.m.