Triple

T19865723
Position Surface form Disambiguated ID Type / Status
Subject Flag of the Azerbaijan Soviet Socialist Republic E477383 entity
Predicate writingSystemChange P4435 FINISHED
Object Latin to Cyrillic on inscriptions 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: Latin to Cyrillic on inscriptions | Statement: [Flag of the Azerbaijan Soviet Socialist Republic, writingSystemChange, Latin to Cyrillic on inscriptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingSystemChange
Context triple: [Flag of the Azerbaijan Soviet Socialist Republic, writingSystemChange, Latin to Cyrillic on inscriptions]
  • A. replacedWritingSystem chosen
    Indicates that one writing system has been superseded or taken the place of another as the primary script used for a language or context.
  • B. writingSystem
    Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
  • C. writingSystemUsedSince
    Indicates that a particular writing system has been in use starting from a specified point in time or period.
  • D. writingSystemUsedIn
    Indicates that a particular writing system is employed for written communication within a given language, region, or context.
  • E. writingSystemCreator
    Indicates that one entity is the creator or originator of the writing system used by another entity.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589eb24081908715b683de1edc68 completed April 20, 2026, 4:47 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:51 p.m.