Triple

T3826896
Position Surface form Disambiguated ID Type / Status
Subject Brest-Litovsk E88710 entity
Predicate languageOfHistoricName P52208 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: [Brest-Litovsk, languageOfHistoricName, Russian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfHistoricName
Context triple: [Brest-Litovsk, languageOfHistoricName, Russian]
  • A. languageOfHistoricalRecord
    Indicates the language in which a given historical record is written or recorded.
  • B. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • C. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • D. historicalLanguageGroup
    Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
  • E. historicalLanguageRegion
    Indicates that a language was historically spoken or used within a particular geographic region, regardless of its current status there.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8459f881908a2c91bb07e381ef completed March 9, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeeb828fb08190901d51edbe8bd304 completed March 9, 2026, 3:47 p.m.
Created at: March 9, 2026, 3:17 p.m.