Triple
T7715328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 15:28 |
E174864
|
entity |
| Predicate | arabicText |
P50395
|
FINISHED |
| Object | وَإِذْ قَالَ رَبُّكَ لِلْمَلَائِكَةِ إِنِّي خَالِقٌۢ بَشَرًا مِّن صَلْصَالٍ مِّنْ حَمَإٍ مَّسْنُونٍ |
—
|
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: وَإِذْ قَالَ رَبُّكَ لِلْمَلَائِكَةِ إِنِّي خَالِقٌۢ بَشَرًا مِّن صَلْصَالٍ مِّنْ حَمَإٍ مَّسْنُونٍ | Statement: [Quran 15:28, arabicText, وَإِذْ قَالَ رَبُّكَ لِلْمَلَائِكَةِ إِنِّي خَالِقٌۢ بَشَرًا مِّن صَلْصَالٍ مِّنْ حَمَإٍ مَّسْنُونٍ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arabicText Context triple: [Quran 15:28, arabicText, وَإِذْ قَالَ رَبُّكَ لِلْمَلَائِكَةِ إِنِّي خَالِقٌۢ بَشَرًا مِّن صَلْصَالٍ مِّنْ حَمَإٍ مَّسْنُونٍ]
-
A.
verseTextArabic
chosen
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
-
B.
titleInArabicScript
Indicates that an entity’s title is represented in Arabic script.
-
C.
titleInArabic
Indicates that an entity’s title is expressed in the Arabic language.
-
D.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
E.
revealedInArabicOrder
Indicates that something was disclosed or made known following the original sequence in which it was revealed in Arabic.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.