Triple

T7328202
Position Surface form Disambiguated ID Type / Status
Subject As-Sab‘ al-Mathani E168927 entity
Predicate transliteration P2508 FINISHED
Object As-Sab‘ al-Mathani E168927 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: As-Sab‘ al-Mathani | Statement: [As-Sab‘ al-Mathani, transliteration, As-Sab‘ al-Mathani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: As-Sab‘ al-Mathani
Context triple: [As-Sab‘ al-Mathani, transliteration, As-Sab‘ al-Mathani]
  • A. As-Sab‘ al-Mathani chosen
    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. 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.
  • C. Al-Masad
    Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • D. 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.
  • E. At-Takathur
    At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a879b88190bef0fb6cbae411ff completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef11f76881909d802942c4013509 completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:03 p.m.