Triple
T8643942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الصافات |
E204724
|
entity |
| Predicate | تحتوي على |
P1393
|
FINISHED |
| Object | سجدة تلاوة عند بعض أهل العلم |
—
|
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: سجدة تلاوة عند بعض أهل العلم | Statement: [سورة الصافات, تحتوي على, سجدة تلاوة عند بعض أهل العلم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تحتوي على Context triple: [سورة الصافات, تحتوي على, سجدة تلاوة عند بعض أهل العلم]
-
A.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
D.
يتناول
Indicates that an entity is consuming or taking something, such as food, drink, or medicine.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4798852881909c03c5eadf805e49 |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.