Triple

T11864028
Position Surface form Disambiguated ID Type / Status
Subject Chapter of the Jinn E282236 entity
Predicate hasArabicName P6450 FINISHED
Object سورة الجن E58377 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 الجن | Statement: [Chapter of the Jinn, hasArabicName, سورة الجن]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: سورة الجن
Context triple: [Chapter of the Jinn, hasArabicName, سورة الجن]
  • A. Surah Al-Jinn chosen
    Surah Al-Jinn is the 72nd chapter of the Quran, focusing on the beliefs, statements, and responses of a group of jinn who listen to and are affected by the recitation of the Quran.
  • B. Surah Qaf
    Surah Qaf is the 50th chapter of the Quran, a Meccan surah known for its opening with the disjointed letter "Qaf" and its vivid reminders of resurrection and divine judgment.
  • C. سورة الحشر
    سورة الحشر هي سورة مدنية في القرآن الكريم تُعنى بأحداث إجلاء يهود بني النضير وتتناول موضوعات التوكل على الله وتعظيمه ووصف صفاته وأسمائه الحسنى.
  • D. Surah At-Tur
    Surah At-Tur is the 52nd chapter of the Quran, a Meccan surah that emphasizes God’s power, the reality of resurrection, and the fate of believers and disbelievers.
  • E. سورة المطففين
    سورة المطففين هي السورة الثالثة والثمانون في القرآن الكريم، مكية تعالج قضية الغش في الكيل والميزان وتحذر من عواقب الظلم والفساد.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73883508190a78b5f4ba4a220df completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281844c048190b5476343113f2436 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.