Triple
T26098793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Wajiz fi Fiqh al-Imam al-Shafi'i |
E658344
|
entity |
| Predicate | madhhabOfAuthor |
P52406
|
FINISHED |
| Object | Shafi'i |
—
|
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: Shafi'i | Statement: [al-Wajiz fi Fiqh al-Imam al-Shafi'i, madhhabOfAuthor, Shafi'i]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madhhabOfAuthor Context triple: [al-Wajiz fi Fiqh al-Imam al-Shafi'i, madhhabOfAuthor, Shafi'i]
-
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.
sourceOfHadithFor
Indicates that one entity serves as the originating source or transmitter for a particular hadith associated with another entity.
-
C.
typeOfHadithWork
Indicates that one entity is a classification or category describing the kind or genre of the hadith work represented by the other entity.
-
D.
qiraatTransmittedBy
Indicates that a particular Qur’anic recitation (qirāʾah) is transmitted or narrated through a specific transmitter or chain of transmitters.
-
E.
roleInHadith
Indicates the specific function, position, or participation an entity has within the context or transmission of a hadith.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607394b6881909bcf1a6871359541 |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:53 p.m.