Triple

T38377859
Position Surface form Disambiguated ID Type / Status
Subject Дворцовый мост E893673 entity
Predicate официальныйЯзыкОкружения P19095 FINISHED
Object русский 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: русский | Statement: [Дворцовый мост, официальныйЯзыкОкружения, русский]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: официальныйЯзыкОкружения
Context triple: [Дворцовый мост, официальныйЯзыкОкружения, русский]
  • A. languageOfEnvironment chosen
    Indicates the language predominantly used or present in a given environment or context.
  • B. nationalLanguageEnvironment
    Indicates the relationship between a country or region and the language(s) that function as the primary or officially recognized means of communication in that environment.
  • C. declaresOfficialLanguageOf
    Indicates that an authority formally designates a particular language as the official language of a specified entity or jurisdiction.
  • D. 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.
  • E. languageOfOfficialAnnouncements
    Indicates the language used for formal or official public announcements issued by an authority.
  • 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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:31 p.m.