Triple
T15350968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة تبت |
E367048
|
entity |
| Predicate | تُستفتح في التلاوة |
P118223
|
FINISHED |
| Object | بالبسملة |
—
|
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: بالبسملة | Statement: [سورة تبت, تُستفتح في التلاوة, بالبسملة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُستفتح في التلاوة Context triple: [سورة تبت, تُستفتح في التلاوة, بالبسملة]
-
A.
تُقرأ في الصلاة
Indicates that something is recited during the ritual Islamic prayer (ṣalāh).
-
B.
تليها في المصحف
Indicates that one Quranic surah or verse comes immediately after another in the written order of the Mushaf.
-
C.
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).
-
D.
qiraat
Indicates a recitation relationship, where one entity recites, chants, or reads aloud a text or passage.
-
E.
recitationInFirstRakats
Indicates that the specified recitation occurs during the first rak‘ah (unit) of the prayer.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e290efc8190b22c95dcd3e5f57f |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:17 a.m.