Triple
T30818349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | القسطلاني |
E784845
|
entity |
| Predicate | المذهب_السني |
P52406
|
FINISHED |
| Object | أهل السنة والجماعة |
—
|
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: أهل السنة والجماعة | Statement: [القسطلاني, المذهب_السني, أهل السنة والجماعة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المذهب_السني Context triple: [القسطلاني, المذهب_السني, أهل السنة والجماعة]
-
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.
otherSunniSchools
Indicates that an entity is associated with Sunni Islamic traditions or schools other than the primary or main one under consideration.
-
C.
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.
-
D.
تتبع_عقيدة
Indicates that one entity follows, adheres to, or subscribes to a particular doctrine or creed associated with another entity.
-
E.
consideredShiaSectBy
Indicates that one group or authority regards or classifies another group as belonging to the Shia branch or a Shia sect of Islam.
- 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_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:44 p.m.