Triple
T1317248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shafi'i school |
E28131
|
entity |
| Predicate | approachToQiyas |
P10363
|
FINISHED |
| Object | systematic and controlled use |
—
|
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: systematic and controlled use | Statement: [Shafi'i school, approachToQiyas, systematic and controlled use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToQiyas Context triple: [Shafi'i school, approachToQiyas, systematic and controlled use]
-
A.
equivalentInReligion
Indicates that two entities share the same or an essentially identical religious affiliation, tradition, or classification.
-
B.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
-
C.
alsoAppealsTo
Indicates that something attracts, interests, or is pleasing to an additional person, group, or audience beyond the primary one.
-
D.
requiresInterpretationInLightOf
Indicates that something must be understood, evaluated, or applied by considering it in the context or framework provided by another thing.
-
E.
includesApproach
chosen
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.