Triple

T12374722
Position Surface form Disambiguated ID Type / Status
Subject Al-Mursalat E295091 entity
Predicate arabicTitle P6450 FINISHED
Object المرسلات
المرسلات هي سورة مكية في القرآن الكريم تُعنى بتأكيد حقيقة البعث والجزاء من خلال مشاهد القسم والوعيد.
 E979364 NE FINISHED

How this triple was built (4 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: المرسلات | Statement: [Al-Mursalat, arabicTitle, المرسلات]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: المرسلات
Context triple: [Al-Mursalat, arabicTitle, المرسلات]
  • A. Badhl al-Majhud
    Badhl al-Majhud is a renowned multi-volume scholarly commentary on the hadith collection Sunan Abu Dawud, widely used in advanced Islamic studies.
  • B. Muntaha al-Iradat
    Muntaha al-Iradat is a classical Hanbali fiqh (Islamic jurisprudence) manual that became one of the key reference works in later Hanbali legal scholarship.
  • C. At-Takathur
    At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
  • D. Ar-Ra'd
    Ar-Ra'd is the Arabic name of the 13th chapter (Surah) of the Qur'an, which focuses on God's power, the truth of revelation, and the consequences of belief and disbelief.
  • E. Lisān al-Ghayb
    Lisān al-Ghayb is the honorific epithet of the Persian poet Hafez, highlighting his perceived mystical insight into the unseen and the divine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: المرسلات
Triple: [Al-Mursalat, arabicTitle, المرسلات]
Generated description
المرسلات هي سورة مكية في القرآن الكريم تُعنى بتأكيد حقيقة البعث والجزاء من خلال مشاهد القسم والوعيد.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: المرسلات
Target entity description: المرسلات هي سورة مكية في القرآن الكريم تُعنى بتأكيد حقيقة البعث والجزاء من خلال مشاهد القسم والوعيد.
  • A. Badhl al-Majhud
    Badhl al-Majhud is a renowned multi-volume scholarly commentary on the hadith collection Sunan Abu Dawud, widely used in advanced Islamic studies.
  • B. Muntaha al-Iradat
    Muntaha al-Iradat is a classical Hanbali fiqh (Islamic jurisprudence) manual that became one of the key reference works in later Hanbali legal scholarship.
  • C. At-Takathur
    At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
  • D. Ar-Ra'd
    Ar-Ra'd is the Arabic name of the 13th chapter (Surah) of the Qur'an, which focuses on God's power, the truth of revelation, and the consequences of belief and disbelief.
  • E. Lisān al-Ghayb
    Lisān al-Ghayb is the honorific epithet of the Persian poet Hafez, highlighting his perceived mystical insight into the unseen and the divine.
  • F. None of above. chosen

Provenance (5 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac1e82c8190abb46ca5799e6680 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62ef1cc4481909bc9fc768a9ef1f2 completed May 2, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f62f808b1481908f529decdbfc5be6 completed May 2, 2026, 5:08 p.m.
Created at: April 8, 2026, 9:54 p.m.