Triple

T4151842
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Opera Orchestra E89923 entity
Predicate languageOfPrimaryRepertoire P18295 FINISHED
Object Italian 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: Italian | Statement: [Metropolitan Opera Orchestra, languageOfPrimaryRepertoire, Italian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfPrimaryRepertoire
Context triple: [Metropolitan Opera Orchestra, languageOfPrimaryRepertoire, Italian]
  • A. languageOfPrimaryCult
    Indicates that a specified language is the main or dominant language used in a particular cult’s primary religious practices or rituals.
  • B. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. languageOfPrimaryOutput chosen
    Indicates the language in which the primary output or main result of an entity (such as a work, process, or system) is expressed.
  • D. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • E. parentLanguage
    Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af033ef6648190adde17f943d89c78 completed March 9, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69af018c101081909070da5b11e5eb3d completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:44 p.m.