Triple
T1324188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanbali school |
E28287
|
entity |
| Predicate | attitudeToQiyas |
P26536
|
FINISHED |
| Object | restrictive use of analogical reasoning |
—
|
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: restrictive use of analogical reasoning | Statement: [Hanbali school, attitudeToQiyas, restrictive use of analogical reasoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeToQiyas Context triple: [Hanbali school, attitudeToQiyas, restrictive use of analogical reasoning]
-
A.
opposedQualityTo
Indicates that one quality stands in direct opposition or contrast to another quality.
-
B.
attitudeToSectarianism
Indicates an entity’s stance or disposition toward sectarianism, such as support, opposition, or neutrality.
-
C.
attitudeTowardDiversity
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
-
D.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
-
E.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by 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.