Triple

T2702188
Position Surface form Disambiguated ID Type / Status
Subject Santa Fe Opera E59253 entity
Predicate primaryPerformanceLanguage P1252 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: [Santa Fe Opera, primaryPerformanceLanguage, multiple languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryPerformanceLanguage
Context triple: [Santa Fe Opera, primaryPerformanceLanguage, multiple languages]
  • A. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. parentLanguage
    Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
  • C. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • D. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • E. primaryLanguageBinding
    Indicates that one language or language-specific implementation is designated as the main or default binding for a given resource, interface, or functionality.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda4e679c8190a2926284568d9020 completed March 7, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69abd82062988190b4292f242ad70b2c completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.