Triple

T25814311
Position Surface form Disambiguated ID Type / Status
Subject Al-Musawwir E650206 entity
Predicate quranicContext P159299 FINISHED
Object listed among names of Allah at the end of Surah Al-Hashr LITERAL 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: listed among names of Allah at the end of Surah Al-Hashr | Statement: [Al-Musawwir, quranicContext, listed among names of Allah at the end of Surah Al-Hashr]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: quranicContext
Context triple: [Al-Musawwir, quranicContext, listed among names of Allah at the end of Surah Al-Hashr]
  • A. quranicPhrase
    Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
  • B. basedOnQuranVerse
    Indicates that something is derived from, inspired by, or directly references a specific verse of the Quran.
  • C. quranSection
    Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
  • D. quranicVerse
    Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
  • E. viewOnQuran
    Indicates a relationship where an entity holds or expresses a particular stance, interpretation, or opinion regarding the Quran.
  • F. None of above. chosen

Provenance (4 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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600c84ac4819091492e52a5a8b873 completed May 2, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
PDg Predicate description generation batch_69f497b8abb88190bb672cf6907c4b8d completed May 1, 2026, 12:08 p.m.
Created at: April 22, 2026, 7:12 a.m.