Triple
T25589274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tafsīr Ibn Kathīr |
E641476
|
entity |
| Predicate | juridicalSchool |
P78579
|
FINISHED |
| Object | Shāfiʿī |
—
|
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: Shāfiʿī | Statement: [Tafsīr Ibn Kathīr, juridicalSchool, Shāfiʿī]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juridicalSchool Context triple: [Tafsīr Ibn Kathīr, juridicalSchool, Shāfiʿī]
-
A.
schoolOfJurisprudence
chosen
Indicates that one entity is a legal philosophy, doctrine, or interpretive framework to which the other entity (such as a jurist, decision, or institution) adheres or belongs.
-
B.
primaryJurisprudentialSchool
Indicates the main school of legal or jurisprudential thought with which an entity is affiliated or that it primarily follows.
-
C.
juridicalSchoolStatus
Indicates the legal or institutional status assigned to a school within a given jurisdiction or educational system.
-
D.
majorSchoolOfLaw
Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
-
E.
lawReview
Indicates a relationship where an entity is associated with a law review, typically as its subject, source, or venue of publication within legal scholarship.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f96bfb00819090b954159c413b28 |
completed | May 2, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:18 p.m.