Triple
T8643927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الصافات |
E204724
|
entity |
| Predicate | أول آية |
P84400
|
FINISHED |
| Object | بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ |
—
|
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: بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ | Statement: [سورة الصافات, أول آية, بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أول آية Context triple: [سورة الصافات, أول آية, بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ]
-
A.
isLongestSurahInQuran
Indicates that the subject is the surah that has the greatest length (in verses) among all surahs in the Quran.
-
B.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
C.
inAlMuwatta
Indicates that a referenced text, ruling, or narration is found within the Islamic legal compilation Al-Muwatta.
-
D.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
-
E.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
- 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_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. |
| PDg | Predicate description generation | batch_69cc479284a8819099b0b0d879af3372 |
completed | March 31, 2026, 10:15 p.m. |
Created at: March 30, 2026, 6:28 p.m.