Triple

T7402081
Position Surface form Disambiguated ID Type / Status
Subject سورة براءة E170772 entity
Predicate hasName P744 FINISHED
Object سورة براءة E170772 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 براءة | Statement: [سورة براءة, hasName, سورة براءة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: سورة براءة
Context triple: [سورة براءة, hasName, سورة براءة]
  • A. سورة براءة chosen
    سورة براءة هي سورة مدنية من سور القرآن الكريم تُعنى بتنظيم العلاقات مع المشركين والمنافقين وتُعرف بكونها السورة الوحيدة التي لا تبدأ بالبسملة.
  • B. سورة لهب
    سورة لهب هي سورة مكية قصيرة في القرآن الكريم تذم أبا لهب وزوجته وتتوعدهما بالعذاب جزاء تكذيبهما وعداوتهما للنبي محمد.
  • C. Surah Abasa
    Surah Abasa is the 80th chapter of the Quran, a short Meccan surah that begins with the words "He frowned" and addresses themes of humility, guidance, and the value of sincere seekers of truth.
  • D. Surah Al-Fil
    Surah Al-Fil is a short Meccan chapter of the Quran that recounts God’s miraculous protection of the Kaaba from the army of the Elephant.
  • E. Surah An-Nasr
    Surah An-Nasr is a short chapter of the Quran traditionally understood as signaling the completion of the Prophet Muhammad’s mission and the impending victory and spread of Islam.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26d6d6081909c7272a9ccae0d97 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81110d7648190a8938db7061be454 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.