Triple
T30397243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الزمر |
E773250
|
entity |
| Predicate | تفتتح بالثناء على الله |
P169160
|
FINISHED |
| Object | نعم |
—
|
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: نعم | Statement: [سورة الزمر, تفتتح بالثناء على الله, نعم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تفتتح بالثناء على الله Context triple: [سورة الزمر, تفتتح بالثناء على الله, نعم]
-
A.
تفتتح بالنداء
Indicates that an utterance or text begins with a vocative call or address to someone.
-
B.
أول آية
Indicates that something is the first verse of a text, typically within a chapter or surah.
-
C.
giftFromAllah
Indicates that something is regarded as a blessing or favor granted directly by Allah.
-
D.
openingVerseBy
Indicates that a work’s opening verse is authored, performed, or otherwise created by the specified entity.
-
E.
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).
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f685aef340819081190a2397b94251 |
completed | May 2, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:03 p.m.