Triple

T33116780
Position Surface form Disambiguated ID Type / Status
Subject Arabs of Afghanistan E847478 entity
Predicate currentPrimaryLanguages P1252 FINISHED
Object Dari and Pashto 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: Dari and Pashto | Statement: [Arabs of Afghanistan, currentPrimaryLanguages, Dari and Pashto]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentPrimaryLanguages
Context triple: [Arabs of Afghanistan, currentPrimaryLanguages, Dari and Pashto]
  • A. mainLanguageOf
    Indicates that a specified language is the primary or dominant language used by a particular entity (such as a person, document, or organization).
  • B. hasPrimaryLanguage1
    Indicates that an entity’s main or most commonly used language is the specified language.
  • C. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • D. educationLanguageDominant
    Indicates that one language is the primary or most influential language used in a person’s education.
  • E. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given 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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fef8c3f2388190b995ec173512945a completed May 9, 2026, 9:05 a.m.
PD Predicate disambiguation batch_69fef65975608190960b78d27e806d4f completed May 9, 2026, 8:54 a.m.
Created at: May 1, 2026, 1:27 a.m.