Triple

T15457401
Position Surface form Disambiguated ID Type / Status
Subject Cardiff Singer of the World competition E371805 entity
Predicate hasMainLanguageOfPerformance P43093 FINISHED
Object multiple languages 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: multiple languages | Statement: [Cardiff Singer of the World competition, hasMainLanguageOfPerformance, multiple languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainLanguageOfPerformance
Context triple: [Cardiff Singer of the World competition, hasMainLanguageOfPerformance, multiple languages]
  • A. performedLanguage chosen
    Indicates that an action, work, or performance was carried out using a specified language.
  • B. hasPrimaryLanguage1
    Indicates that an entity’s main or most commonly used language is the specified language.
  • C. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • D. hasArtistLanguage
    Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
  • E. hasRepresentativeLanguage
    Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1623f0819086f6fc2bfd536609 completed April 16, 2026, 1:44 a.m.
PD Predicate disambiguation batch_69ded28276f481908c2038bb301e57cf completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:31 a.m.