Triple

T3530242
Position Surface form Disambiguated ID Type / Status
Subject Surah An-Nasr E74642 entity
Predicate name P16 FINISHED
Object An-Nasr
An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
 E367807 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: An-Nasr | Statement: [Surah An-Nasr, name, An-Nasr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: An-Nasr
Context triple: [Surah An-Nasr, name, An-Nasr]
  • A. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • B. Wydad AC
    Wydad AC is one of Morocco’s most successful and popular football clubs, based in Casablanca and renowned for its passionate fanbase and historic domestic and continental achievements.
  • C. Al Nasr SC
    Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
  • D. Ittihad Kalba
    Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
  • E. Abaji
    Abaji is a town and local government area located within Nigeria’s Federal Capital Territory, serving as one of its key administrative and residential centers.
  • 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: An-Nasr
Triple: [Surah An-Nasr, name, An-Nasr]
Generated description
An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: An-Nasr
Target entity description: An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
  • A. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • B. Wydad AC
    Wydad AC is one of Morocco’s most successful and popular football clubs, based in Casablanca and renowned for its passionate fanbase and historic domestic and continental achievements.
  • C. Al Nasr SC
    Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
  • D. Ittihad Kalba
    Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
  • E. Abaji
    Abaji is a town and local government area located within Nigeria’s Federal Capital Territory, serving as one of its key administrative and residential centers.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcc879c8190ab4ab3e2b67d9a16 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c5cfb608190b451be14246d5481 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38ce0e1688190a7ee3d079fb83f3d completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:19 p.m.