Triple
T33792032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الأوقاف والشؤون الإسلامية بالمغرب |
E865955
|
entity |
| Predicate | المذهب_الرسمي |
P52406
|
FINISHED |
| Object | المذهب المالكي |
—
|
NE NERFINISHED |
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: المذهب المالكي | Statement: [وزارة الأوقاف والشؤون الإسلامية بالمغرب, المذهب_الرسمي, المذهب المالكي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المذهب_الرسمي Context triple: [وزارة الأوقاف والشؤون الإسلامية بالمغرب, المذهب_الرسمي, المذهب المالكي]
-
A.
madhhab
chosen
Indicates the school of thought or legal tradition within a broader religious or jurisprudential system that an entity follows or is associated with.
-
B.
المذاهب الأربعة الأخرى
Indicates the relationship of belonging to or being classified among the other three Sunni Islamic legal schools besides the one currently in focus.
-
C.
المذهب اللغوي
Indicates a linguistic school or approach that characterizes how language is analyzed, interpreted, or used.
-
D.
تتبع_عقيدة
Indicates that one entity follows, adheres to, or subscribes to a particular doctrine or creed associated with another entity.
-
E.
محور تشريعي
Indicates a legislative axis or focus around which lawmaking activities, policies, or legal reforms are organized or structured.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.