Triple
T28543268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majd al-Din ibn Taymiyyah |
E722357
|
entity |
| Predicate | legalSchoolWithinSunniIslam |
P193112
|
FINISHED |
| Object | Hanbali |
—
|
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 | Statement: [Majd al-Din ibn Taymiyyah, legalSchoolWithinSunniIslam, Hanbali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalSchoolWithinSunniIslam Context triple: [Majd al-Din ibn Taymiyyah, legalSchoolWithinSunniIslam, Hanbali]
-
A.
otherSunniSchools
Indicates that an entity is associated with Sunni Islamic traditions or schools other than the primary or main one under consideration.
-
B.
relativeSizeAmongSunniSchools
Indicates the comparative size or prominence of one Sunni school relative to other Sunni schools.
-
C.
fiqhScope
Indicates the domain or scope within Islamic jurisprudence (fiqh) to which a particular ruling, issue, or concept applies.
-
D.
statusInMalikiSchool
Indicates the legal or doctrinal status of something according to the Maliki school of Islamic jurisprudence.
-
E.
fiqh
Indicates the relationship of deriving, applying, or adhering to Islamic legal rulings and jurisprudential judgments regarding actions or situations.
- F. None of above. chosen
Provenance (4 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: April 28, 2026, 3:37 a.m.