Triple

T176398
Position Surface form Disambiguated ID Type / Status
Subject Russian language E3584 entity
Predicate isOfficialUNLanguage P4182 FINISHED
Object true 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: true | Statement: [Russian language, isOfficialUNLanguage, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOfficialUNLanguage
Context triple: [Russian language, isOfficialUNLanguage, true]
  • A. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • B. 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).
  • C. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • D. oneOfSixOfficialLanguagesOf chosen
    Indicates that a language is one of the six officially recognized languages of a particular organization, institution, or entity.
  • E. isWorldLanguage
    Indicates that a language is widely used across multiple countries or regions and serves as a common means of communication beyond its original native community.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e497788190aeb61d981efb4d1d completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a25669d99481908c5e82ba8641205a completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.