Triple

T3909123
Position Surface form Disambiguated ID Type / Status
Subject Ruqʿah E87278 entity
Predicate comparedTo P278 FINISHED
Object Naskh script E7624 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: Naskh script | Statement: [Ruqʿah, comparedTo, Naskh script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naskh script
Context triple: [Ruqʿah, comparedTo, Naskh script]
  • A. Naskh script chosen
    Naskh script is a widely used, highly legible style of Arabic calligraphy commonly employed in printed texts, books, and everyday writing.
  • B. Thuluth script
    Thuluth script is a large, elegant, and highly cursive style of Arabic calligraphy traditionally used for architectural inscriptions, Qur’anic headings, and decorative works.
  • C. Kufic script
    Kufic script is the oldest extant form of Arabic calligraphy, characterized by its angular, geometric letterforms and prominent use in early Qur’anic manuscripts and architectural inscriptions.
  • D. Diwani script
    Diwani script is an ornate Ottoman-era style of Arabic calligraphy characterized by its intricate, flowing lines and dense, decorative composition often used in royal decrees and official documents.
  • E. Taliq script
    Taliq script is a flowing, cursive style of Islamic calligraphy, historically used for Persian and Ottoman Turkish manuscripts and known for its elegant, slanted letterforms.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed14d6d08190b74757eb9288fe4d completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.