Triple
T23736418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi judiciary |
E586552
|
entity |
| Predicate | dominantSchoolOfFiqh |
P17220
|
FINISHED |
| Object | Hanbali school |
—
|
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: Hanbali school | Statement: [Saudi judiciary, dominantSchoolOfFiqh, Hanbali school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantSchoolOfFiqh Context triple: [Saudi judiciary, dominantSchoolOfFiqh, Hanbali school]
-
A.
majorFiqhText
Indicates that a work is recognized as a primary or foundational text within the field of Islamic jurisprudence (fiqh).
-
B.
otherSunniSchools
Indicates that an entity is associated with Sunni Islamic traditions or schools other than the primary or main one under consideration.
-
C.
madhhab
Indicates the school of thought or legal tradition within a broader religious or jurisprudential system that an entity follows or is associated with.
-
D.
primaryJurisprudentialSchool
chosen
Indicates the main school of legal or jurisprudential thought with which an entity is affiliated or that it primarily follows.
-
E.
relativeSizeAmongSunniSchools
Indicates the comparative size or prominence of one Sunni school relative to other Sunni schools.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad28fa481909d7a6a6e98a7b0a5 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:10 p.m.