Triple
T30818341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | القسطلاني |
E784845
|
entity |
| Predicate | الانتماء_الصوفي |
P42510
|
FINISHED |
| Object | من المنتسبين للتصوف السني |
—
|
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: من المنتسبين للتصوف السني | Statement: [القسطلاني, الانتماء_الصوفي, من المنتسبين للتصوف السني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الانتماء_الصوفي Context triple: [القسطلاني, الانتماء_الصوفي, من المنتسبين للتصوف السني]
-
A.
SufiOrder
chosen
Indicates a relationship in which an entity is affiliated with, belongs to, or is a member of a specific Sufi order.
-
B.
اللقب الصوفي
Indicates a relationship where a person is associated with or known by a specific Sufi honorific or spiritual title.
-
C.
hasRoleInSufism
Indicates that an entity holds a specific role, function, or position within the context of Sufism.
-
D.
الانتماء الفقهي
Indicates the doctrinal or jurisprudential school to which an entity is affiliated or adheres.
-
E.
viewInSufism
Indicates the perspective, interpretation, or doctrinal understanding of something specifically within the context of Sufi thought or practice.
- 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.