Triple

T656492
Position Surface form Disambiguated ID Type / Status
Subject Modern Standard Arabic E11660 entity
Predicate basedOn P98 FINISHED
Object Quranic Arabic E8842 NE 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: Quranic Arabic | Statement: [Modern Standard Arabic, basedOn, Quranic Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quranic Arabic
Context triple: [Modern Standard Arabic, basedOn, Quranic Arabic]
  • A. Classical Arabic chosen
    Classical Arabic is the standardized, literary form of the Arabic language used in the Quran and early Islamic literature, serving as the historical foundation for Modern Standard Arabic.
  • B. Arabic
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • C. 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.
  • D. Old Arabic
    Old Arabic is the early stage of the Arabic language attested in pre-Islamic inscriptions and poetry, representing the linguistic ancestor of Classical and Modern Arabic varieties.
  • E. Yafiʿi Arabic
    Yafiʿi Arabic is a regional variety of Yemeni Arabic spoken primarily in the Yafaʿ area of southern Yemen, characterized by its own distinct phonological and lexical features.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4e87408190b5276d2b913d0426 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a4d77e0819098cdd416136fd374 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:36 p.m.