Triple
T7096506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayah 28 mentions hearts finding rest in the remembrance of Allah |
E165341
|
entity |
| Predicate | keyArabicPhrase |
P71465
|
FINISHED |
| Object | أَلَا بِذِكْرِ اللَّهِ تَطْمَئِنُّ الْقُلُوبُ |
—
|
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: أَلَا بِذِكْرِ اللَّهِ تَطْمَئِنُّ الْقُلُوبُ | Statement: [Ayah 28 mentions hearts finding rest in the remembrance of Allah, keyArabicPhrase, أَلَا بِذِكْرِ اللَّهِ تَطْمَئِنُّ الْقُلُوبُ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyArabicPhrase Context triple: [Ayah 28 mentions hearts finding rest in the remembrance of Allah, keyArabicPhrase, أَلَا بِذِكْرِ اللَّهِ تَطْمَئِنُّ الْقُلُوبُ]
-
A.
verseTextArabic
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
-
B.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
C.
revealedInArabicOrder
Indicates that something was disclosed or made known following the original sequence in which it was revealed in Arabic.
-
D.
cognateInArabic
Indicates that a given term has a corresponding cognate form in Arabic that is historically or linguistically related in origin or structure.
-
E.
quranicPhrase
chosen
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
- F. None of above.
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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e554d9f081909443be54eb501d25 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.