Triple
T32160595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qur’an 46:35 |
E821413
|
entity |
| Predicate | ArabicTermUsed |
P114902
|
FINISHED |
| Object | أُولُوا الْعَزْمِ مِنَ الرُّسُلِ (ulu al-‘azm mina r-rusul) |
—
|
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: أُولُوا الْعَزْمِ مِنَ الرُّسُلِ (ulu al-‘azm mina r-rusul) | Statement: [Qur’an 46:35, ArabicTermUsed, أُولُوا الْعَزْمِ مِنَ الرُّسُلِ (ulu al-‘azm mina r-rusul)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArabicTermUsed Context triple: [Qur’an 46:35, ArabicTermUsed, أُولُوا الْعَزْمِ مِنَ الرُّسُلِ (ulu al-‘azm mina r-rusul)]
-
A.
hasKeyTermArabic
chosen
Indicates that an entity is associated with a specific key term expressed in the Arabic language.
-
B.
ArabicTitleDerivedFrom
Indicates that one entity’s Arabic title is linguistically or conceptually derived from the title of another entity.
-
C.
cognateInArabic
Indicates that a given term has a corresponding cognate form in Arabic that is historically or linguistically related in origin or structure.
-
D.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
E.
meaningInArabicRelatedForm
Indicates that one entity expresses the meaning of another entity in Arabic through a related or derived linguistic form.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba1a2d4c8190aa73a7b9b37c7c0d |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:32 a.m.