Triple
T30818197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتب الستة |
E784842
|
entity |
| Predicate | مذهب_المؤلفين |
P160945
|
FINISHED |
| Object | سني |
—
|
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: سني | Statement: [الكتب الستة, مذهب_المؤلفين, سني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مذهب_المؤلفين Context triple: [الكتب الستة, مذهب_المؤلفين, سني]
-
A.
madhhab
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.
الانتماء الفقهي
chosen
Indicates the doctrinal or jurisprudential school to which an entity is affiliated or adheres.
-
D.
تتبع_عقيدة
Indicates that one entity follows, adheres to, or subscribes to a particular doctrine or creed associated with another entity.
-
E.
authorsReligion
Indicates the religious affiliation or belief system associated with an author.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.