Triple

T12690108
Position Surface form Disambiguated ID Type / Status
Subject Al-Mahabba Festival E303178 entity
Predicate languageOfMajorityUse P11430 FINISHED
Object Arabic 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: Arabic | Statement: [Al-Mahabba Festival, languageOfMajorityUse, Arabic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfMajorityUse
Context triple: [Al-Mahabba Festival, languageOfMajorityUse, Arabic]
  • A. majorityLanguageOf chosen
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • B. languageFamilyDominant
    Indicates that one language family holds a primary or prevailing status over others within a given context (such as a region, population, or system).
  • C. nationalLanguageSpoken
    Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
  • 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. ethnicLanguageStatus
    Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d962a32c6481908ddaddae4ea267bf completed April 10, 2026, 8:50 p.m.
PD Predicate disambiguation batch_69d960be63f081908a5ef5ef17a311bf completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:22 p.m.