Triple
T1324190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanbali school |
E28287
|
entity |
| Predicate | attitudeToIstihsan |
P26538
|
FINISHED |
| Object | rejects juristic preference |
—
|
LITERAL FINISHED |
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: rejects juristic preference | Statement: [Hanbali school, attitudeToIstihsan, rejects juristic preference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeToIstihsan Context triple: [Hanbali school, attitudeToIstihsan, rejects juristic preference]
-
A.
attitudeToSectarianism
Indicates an entity’s stance or disposition toward sectarianism, such as support, opposition, or neutrality.
-
B.
tolerates
Indicates that one entity endures, accepts, or allows the presence, behavior, or condition of another entity without intervening to stop or change it.
-
C.
declination
Indicates the angular deviation of one direction or object from a reference plane or axis, typically measuring how far it is tilted or offset.
-
D.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
-
E.
acceptsCaliphateOf
Indicates that one entity formally acknowledges and agrees to the religious-political authority or leadership (caliphate) of another entity.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.