Triple

T14777883
Position Surface form Disambiguated ID Type / Status
Subject Al-Bayyinah E347310 entity
Predicate arabicName P6450 FINISHED
Object سورة البينة E69500 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 البينة | Statement: [Al-Bayyinah, arabicName, سورة البينة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: سورة البينة
Context triple: [Al-Bayyinah, arabicName, سورة البينة]
  • A. Surah Al-Bayyinah chosen
    Surah Al-Bayyinah is a chapter of the Quran that emphasizes the coming of clear proof from God through His Messenger and distinguishes the fate of believers from that of 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 Al-Mumtahanah
    Surah Al-Mumtahanah is the 60th chapter of the Quran, a Medinan surah that addresses relations with non-Muslims, loyalty to the Muslim community, and the testing of faith.
  • E. سورة براءة
    سورة براءة هي سورة مدنية من سور القرآن الكريم تُعنى بتنظيم العلاقات مع المشركين والمنافقين وتُعرف بكونها السورة الوحيدة التي لا تبدأ بالبسملة.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec817c39081909b08a0ffdfce9936 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cff0474819092e8447f2f13cf59 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.