Triple

T1317919
Position Surface form Disambiguated ID Type / Status
Subject Gagarin Cup E28147 entity
Predicate hasLanguageOfOfficialName P26955 FINISHED
Object Russian 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: Russian | Statement: [Gagarin Cup, hasLanguageOfOfficialName, Russian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfOfficialName
Context triple: [Gagarin Cup, hasLanguageOfOfficialName, Russian]
  • A. isWorkingLanguageOf
    Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
  • B. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • 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. additionalOfficialLanguage
    Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized status.
  • E. hasOfficialNameInEnglish
    Indicates that an entity has an officially recognized name expressed in the English language.
  • F. None of above. chosen

Provenance (4 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c176c89881909e9dc0e34f12f056 completed March 1, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69a4beebcb348190964bd7215811942c completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4bfc2134c81909cbaaa151d96e9a8 completed March 1, 2026, 10:37 p.m.
Created at: March 1, 2026, 7:55 p.m.