Triple
T3565017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Ikhlas |
E75426
|
entity |
| Predicate | verseTextArabic |
P50395
|
FINISHED |
| Object | قُلْ هُوَ ٱللَّهُ أَحَدٌ |
—
|
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: قُلْ هُوَ ٱللَّهُ أَحَدٌ | Statement: [Surah Al-Ikhlas, verseTextArabic, قُلْ هُوَ ٱللَّهُ أَحَدٌ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verseTextArabic Context triple: [Surah Al-Ikhlas, verseTextArabic, قُلْ هُوَ ٱللَّهُ أَحَدٌ]
-
A.
revealedInArabicOrder
Indicates that something was disclosed or made known following the original sequence in which it was revealed in Arabic.
-
B.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
C.
titleInArabic
Indicates that an entity’s title is expressed in the Arabic language.
-
D.
kuficOrder
Indicates that one entity commissions, arranges, or prescribes the creation or use of Kufic script in relation to another entity.
-
E.
transliterationLanguage
Indicates the language whose writing system is used as the target when converting text from one script to another.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a8f6288190928479f5bea32245 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9bbb62c8190989629ca11733e1b |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 8, 2026, 3:21 p.m.