Triple

T18496554
Position Surface form Disambiguated ID Type / Status
Subject الحركة المصرية من أجل التغيير E451962 entity
Predicate اللغة_الرئيسية P1252 FINISHED
Object اللغة العربية 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: اللغة العربية | Statement: [الحركة المصرية من أجل التغيير, اللغة_الرئيسية, اللغة العربية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: اللغة_الرئيسية
Context triple: [الحركة المصرية من أجل التغيير, اللغة_الرئيسية, اللغة العربية]
  • A. 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).
  • B. primaryLanguageIn
    Indicates that a specified language is the main or official language used within a particular place, organization, or context.
  • C. 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.
  • D. languageOfPrimaryCult
    Indicates that a specified language is the main or dominant language used in a particular cult’s primary religious practices or rituals.
  • E. hasPrimaryLanguage1
    Indicates that an entity’s main or most commonly used language is the specified language.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c09a8081909cf0b44df3682bb8 completed April 19, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69e469dbf5208190b6fc49e02a087f54 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:35 a.m.