Triple
T30818198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتب الستة |
E784842
|
entity |
| Predicate | مكانة_علمية |
P115266
|
FINISHED |
| Object | أصل من أصول الاستدلال في الفقه 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: أصل من أصول الاستدلال في الفقه السني | Statement: [الكتب الستة, مكانة_علمية, أصل من أصول الاستدلال في الفقه السني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مكانة_علمية Context triple: [الكتب الستة, مكانة_علمية, أصل من أصول الاستدلال في الفقه السني]
-
A.
housesAcademicDiscipline
Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
-
B.
scholarlyMilieu
chosen
Indicates the intellectual or academic environment, context, or community within which a scholarly work, activity, or figure is situated.
-
C.
منطقة النشاط العلمي
Indicates the area or domain in which a scientific activity or research effort is carried out.
-
D.
أثر_علمي
Indicates a scientific impact or influence that one entity (such as a work, researcher, or discovery) has on another within the scientific or academic domain.
-
E.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
- 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.