Triple
T31121033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Sales |
E793223
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | classical Islamic legal text section |
C33006
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: classical Islamic legal text section Context triple: [Book of Sales, instanceOf, classical Islamic legal text section]
-
A.
Sunni Islamic jurisprudence work
A Sunni Islamic jurisprudence work is a scholarly text that systematically presents, interprets, and applies Islamic legal rulings and principles according to one or more Sunni schools of law.
-
B.
classical Islamic work
chosen
A classical Islamic work is a foundational text produced in the formative and medieval periods of Islamic civilization that systematically presents, interprets, or preserves religious, legal, philosophical, or literary knowledge within the Islamic tradition.
-
C.
usul al-fiqh text
A usul al-fiqh text is a scholarly work that systematically outlines the principles, methods, and evidentiary rules used to derive Islamic legal rulings from foundational sources.
-
D.
classical Arabic text
A classical Arabic text is a written work composed in the formal, literary variety of Arabic used from the early Islamic period through the medieval era, characterized by rich rhetoric, precise grammar, and adherence to traditional stylistic norms.
-
E.
Islamic law appellate court
An Islamic law appellate court is a judicial body that reviews and adjudicates appeals from lower courts’ decisions based on interpretations and applications of Sharia principles.
- F. None of above.
Provenance (1 batch)
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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:04 p.m.