Triple
T34905898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الحاقة |
E1006724
|
entity |
| Predicate | خاتمة السورة |
P177898
|
FINISHED |
| Object | فَسَبِّحْ بِاسْمِ رَبِّكَ الْعَظِيمِ |
—
|
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: فَسَبِّحْ بِاسْمِ رَبِّكَ الْعَظِيمِ | Statement: [سورة الحاقة, خاتمة السورة, فَسَبِّحْ بِاسْمِ رَبِّكَ الْعَظِيمِ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: خاتمة السورة Context triple: [سورة الحاقة, خاتمة السورة, فَسَبِّحْ بِاسْمِ رَبِّكَ الْعَظِيمِ]
-
A.
أول آية
Indicates that something is the first verse of a text, typically within a chapter or surah.
-
B.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
-
C.
عدد السجدات
Indicates the number of prostrations performed in a given prayer or worship context.
-
D.
خاتمتها
chosen
Indicates the concluding part or ending of something, such as an event, story, or process.
-
E.
isLongestSurahInQuran
Indicates that the subject is the surah that has the greatest length (in verses) among all surahs in the Quran.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.