Triple

T7870465
Position Surface form Disambiguated ID Type / Status
Subject Junbish-e Milli-ye Islami-ye Afghanistan E182723 entity
Predicate languageOfConstituency P11430 FINISHED
Object Uzbek 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: Uzbek | Statement: [Junbish-e Milli-ye Islami-ye Afghanistan, languageOfConstituency, Uzbek]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfConstituency
Context triple: [Junbish-e Milli-ye Islami-ye Afghanistan, languageOfConstituency, Uzbek]
  • A. languageConstituency
    Indicates that one language variety, segment, or unit forms a constituent or component part within the structure of another language or linguistic system.
  • B. languageOfLegislature
    Indicates the language or languages officially used by a legislature to conduct its proceedings, draft laws, and perform its formal functions.
  • C. ethnicConstituency
    Indicates that a political or administrative constituency is defined or characterized primarily by the ethnicity of its population.
  • D. majorityLanguageOf chosen
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • E. languageOfCampaigning
    Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb384a285881908a5b2de278f9556f completed March 31, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69cae925ca388190ae4a01fa76e957e8 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:55 p.m.