Triple

T10420490
Position Surface form Disambiguated ID Type / Status
Subject Al-Waqi'ah E245633 entity
Predicate precededBySurah P30312 FINISHED
Object Ar-Rahman E658560 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: Ar-Rahman | Statement: [Al-Waqi'ah, precededBySurah, Ar-Rahman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ar-Rahman
Context triple: [Al-Waqi'ah, precededBySurah, Ar-Rahman]
  • A. Ar-Rahman chosen
    Ar-Rahman is one of the most significant names of God in Islam, emphasizing His boundless and all-encompassing mercy toward all creation.
  • B. Ar-Rahim
    Ar-Rahim is one of the 99 Names of Allah in Islam, signifying God as the Especially Merciful whose compassion is continuously bestowed upon His creation.
  • C. Allah
    Allah is the singular, all-powerful and all-knowing God in Islam, regarded as the creator and sustainer of the universe.
  • D. Allah Rakha Rahman
    Allah Rakha Rahman is an acclaimed Indian composer, singer, and music producer renowned worldwide for his innovative film scores and multiple Academy Award-winning soundtracks.
  • E. Raḥmat
    Raḥmat is a month in the Bahá’í Badí‘ calendar associated with the commemoration of the Martyrdom of the Báb.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2bee2081908e5e65df9100d463 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc17c874819096b656056ed2dd8a completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:11 p.m.