Triple

T4170513
Position Surface form Disambiguated ID Type / Status
Subject Saorview E84549 entity
Predicate languageOfPrimaryServices P1252 FINISHED
Object English 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: English | Statement: [Saorview, languageOfPrimaryServices, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfPrimaryServices
Context triple: [Saorview, languageOfPrimaryServices, English]
  • 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 chosen
    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
    Indicates the language in which the primary output or main result of an entity (such as a work, process, or system) is expressed.
  • D. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • E. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c87cc88190a9ec3712db18a8a7 completed March 9, 2026, 5:26 p.m.
PD Predicate disambiguation batch_69af018fb0948190a9701b2e8e5d9bac completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:45 p.m.