Triple

T3482484
Position Surface form Disambiguated ID Type / Status
Subject Surah Al-Ma'un E73525 entity
Predicate name P16 FINISHED
Object Al-Ma'un
Al-Ma'un is the 107th chapter of the Qur'an, known for condemning hypocrisy and neglect of orphans and the poor.
E360860 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: Al-Ma'un | Statement: [Surah Al-Ma'un, name, Al-Ma'un]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Ma'un
Context triple: [Surah Al-Ma'un, name, Al-Ma'un]
  • A. As-Sab‘ al-Mathani
    As-Sab‘ al-Mathani is an honorific title for Surah Al-Fatiha, highlighting its special status as a frequently recited, foundational chapter of the Qur’an.
  • B. At-Takathur
    At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
  • C. Al-Qari'atu
    Al-Qari'atu is the striking, cataclysmic event described at the beginning of Surah Al-Qari'ah in the Qur'an, referring to the Day of Judgment.
  • D. Al-Buruj
    Al-Buruj is the 85th chapter of the Qur’an, known for its themes of divine watchfulness, the persecution of believers, and the ultimate triumph of faith.
  • E. Al Mandaq
    Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
  • 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: Al-Ma'un
Triple: [Surah Al-Ma'un, name, Al-Ma'un]
Generated description
Al-Ma'un is the 107th chapter of the Qur'an, known for condemning hypocrisy and neglect of orphans and the poor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al-Ma'un
Target entity description: Al-Ma'un is the 107th chapter of the Qur'an, known for condemning hypocrisy and neglect of orphans and the poor.
  • A. As-Sab‘ al-Mathani
    As-Sab‘ al-Mathani is an honorific title for Surah Al-Fatiha, highlighting its special status as a frequently recited, foundational chapter of the Qur’an.
  • B. At-Takathur
    At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
  • C. Al-Qari'atu
    Al-Qari'atu is the striking, cataclysmic event described at the beginning of Surah Al-Qari'ah in the Qur'an, referring to the Day of Judgment.
  • D. Al-Buruj
    Al-Buruj is the 85th chapter of the Qur’an, known for its themes of divine watchfulness, the persecution of believers, and the ultimate triumph of faith.
  • E. Al Mandaq
    Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368a242448190ac61e806b42a0cf3 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693bc26c819093ba7f9757ba0665 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.