Triple

T12383537
Position Surface form Disambiguated ID Type / Status
Subject An-Naba E295802 entity
Predicate nameInArabic P6450 FINISHED
Object سورة النبأ E61110 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: سورة النبأ | Statement: [An-Naba, nameInArabic, سورة النبأ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: سورة النبأ
Context triple: [An-Naba, nameInArabic, سورة النبأ]
  • A. Surah An-Naba chosen
    Surah An-Naba is the 78th chapter of the Quran, a Meccan surah that vividly describes the Day of Resurrection and the consequences for believers and disbelievers.
  • B. سورة المطففين
    سورة المطففين هي السورة الثالثة والثمانون في القرآن الكريم، مكية تعالج قضية الغش في الكيل والميزان وتحذر من عواقب الظلم والفساد.
  • C. سورة القتال
    سورة القتال هو اسم من الأسماء المشهورة لسورة التوبة في القرآن الكريم، والتي تتناول أحكام الجهاد ومواجهة المشركين والمنافقين.
  • D. Surah Muhammad
    Surah Muhammad is the 47th chapter of the Quran, revealed in Medina, which focuses on themes of faith, warfare, and the distinction between believers and disbelievers.
  • E. Surah An-Nazi'at
    Surah An-Nazi'at is the 79th chapter of the Quran, a Meccan surah that vividly describes the Day of Resurrection and emphasizes the consequences of denying the hereafter.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac78c5c81909fb3d63bc6c9cc01 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.