Triple

T2006338
Position Surface form Disambiguated ID Type / Status
Subject Islamization of North Africa E43594 entity
Predicate languageIntroduced P35092 FINISHED
Object Arabic E1330 NE FINISHED

How this triple was built (3 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: [Islamization of North Africa, languageIntroduced, Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabic
Context triple: [Islamization of North Africa, languageIntroduced, Arabic]
  • A. Arabic chosen
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • B. Hijazi Arabic
    Hijazi Arabic is a major regional variety of Arabic spoken primarily in western Saudi Arabia, especially in the Hijaz region including cities like Mecca, Medina, and Jeddah.
  • C. Badawi Najdi Arabic
    Badawi Najdi Arabic is a Bedouin variety of the Najdi Arabic dialect spoken primarily by nomadic and tribal communities in central Arabia.
  • D. Egyptian Arabic
    Egyptian Arabic is the most widely understood modern Arabic dialect, centered in Egypt and heavily influenced by the speech and media of Cairo.
  • E. Sanʽani Arabic
    Sanʽani Arabic is a distinctive variety of Yemeni Arabic spoken in and around the city of Sanaʽa, known for its conservative linguistic features and unique phonology within the Arabic dialect continuum.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageIntroduced
Context triple: [Islamization of North Africa, languageIntroduced, Arabic]
  • A. languageDesigned
    Indicates that one entity created or developed the language used or associated with another entity.
  • B. languagesSpoken
    Indicates that an entity is able to communicate using one or more specified languages.
  • C. languageOfAdoption
    Indicates the language in which an adoption (e.g., of a text, standard, or practice) is formally made or recorded.
  • D. languageName
    Indicates the specific name assigned to a language in the relationship.
  • E. isWorkingLanguageOf
    Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
  • F. None of above. chosen

Provenance (5 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb898795481909920c1a4c4d62c2d completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe068ac8190b0999e4f881d134a completed March 9, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69abb79e63c08190982c8b44a557266f completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb87b9fc08190a748c278ef2d7dc7 completed March 7, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:37 p.m.