Triple

T15350933
Position Surface form Disambiguated ID Type / Status
Subject سورة تبت E367048 entity
Predicate اسم آخر P744 FINISHED
Object سورة المسد E75168 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 المسد | Statement: [سورة تبت, اسم آخر, سورة المسد]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: سورة المسد
Context triple: [سورة تبت, اسم آخر, سورة المسد]
  • A. سورة المطففين
    سورة المطففين هي السورة الثالثة والثمانون في القرآن الكريم، مكية تعالج قضية الغش في الكيل والميزان وتحذر من عواقب الظلم والفساد.
  • B. 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.
  • C. 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.
  • 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 Al-Masad chosen
    Surah Al-Masad is a short Meccan chapter of the Quran that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b43bfcc8190b1b373ee10786f1e completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:17 a.m.