Triple
T34183391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عثمان بن عفان |
E876887
|
entity |
| Predicate | جمع_المصحف |
P178492
|
FINISHED |
| Object | أمر بجمع المصحف العثماني وتوحيد المصاحف |
—
|
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: أمر بجمع المصحف العثماني وتوحيد المصاحف | Statement: [عثمان بن عفان, جمع_المصحف, أمر بجمع المصحف العثماني وتوحيد المصاحف]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: جمع_المصحف Context triple: [عثمان بن عفان, جمع_المصحف, أمر بجمع المصحف العثماني وتوحيد المصاحف]
-
A.
qiraat
Indicates a recitation relationship, where one entity recites, chants, or reads aloud a text or passage.
-
B.
inAlMuwatta
Indicates that a referenced text, ruling, or narration is found within the Islamic legal compilation Al-Muwatta.
-
C.
مصحفياً
Indicates that someone is acting in the capacity of a Qur’an specialist or is engaged in work related to the writing, editing, or production of the Qur’anic text.
-
D.
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).
-
E.
qiraatTransmittedBy
Indicates that a particular Qur’anic recitation (qirāʾah) is transmitted or narrated through a specific transmitter or chain of transmitters.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.