Triple

T166709
Position Surface form Disambiguated ID Type / Status
Subject Mamayev Kurgan memorial complex E3030 entity
Predicate officialLanguageOfInscriptions P5668 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: [Mamayev Kurgan memorial complex, officialLanguageOfInscriptions, Russian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfInscriptions
Context triple: [Mamayev Kurgan memorial complex, officialLanguageOfInscriptions, Russian]
  • A. 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.
  • B. bellInscriptionLanguage
    Indicates the language in which the inscription on a bell is written.
  • C. oneOfSixOfficialLanguagesOf
    Indicates that a language is one of the six officially recognized languages of a particular organization, institution, or entity.
  • D. 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).
  • E. languageOfCeremony
    Indicates the language in which a ceremony is conducted or officially performed.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25884c8d88190bc4cb4e3541e8116 completed Feb. 28, 2026, 2:52 a.m.
PD Predicate disambiguation batch_69a25664ba8081908ac298511a9fc5ba completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256eb46ec81909c730000e5041d0d completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.