Triple

T29008741
Position Surface form Disambiguated ID Type / Status
Subject State Minister of Artsakh E736504 entity
Predicate languageOfOfficeTitle P12907 FINISHED
Object Armenian 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: Armenian | Statement: [State Minister of Artsakh, languageOfOfficeTitle, Armenian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfOfficeTitle
Context triple: [State Minister of Artsakh, languageOfOfficeTitle, Armenian]
  • A. officialLanguageOfTitle chosen
    Indicates that a specified language is the officially designated language associated with a particular title or position.
  • B. officeNameInOfficialLanguage
    Indicates that an office’s title or name is given specifically in the official language of the relevant jurisdiction or organization.
  • 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. languageOfOfficialReports
    Indicates the language in which an entity’s official reports are written or issued.
  • 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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69fe68a4b67881909ca1d9f276f922e0 completed May 8, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69fe680234c88190b01f953987b74972 completed May 8, 2026, 10:47 p.m.
Created at: April 28, 2026, 9:40 a.m.