Triple
T1289318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanafi school |
E27508
|
entity |
| Predicate | legalMethodology |
P4756
|
FINISHED |
| Object | qiyas |
—
|
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: qiyas | Statement: [Hanafi school, legalMethodology, qiyas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalMethodology Context triple: [Hanafi school, legalMethodology, qiyas]
-
A.
legalDoctrine
chosen
Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
-
B.
legalProcedureUsed
Indicates that a particular legal procedure or process is applied or employed in relation to a case, action, or legal matter.
-
C.
legalBackground
Indicates that an entity has education, training, or experience related to law or the legal profession.
-
D.
legalRepresentation
Indicates that one entity formally acts on behalf of another in legal matters, such as providing counsel, advocacy, or defense within a legal system.
-
E.
legalTraining
Indicates that one entity has provided or received education or instruction in law from another entity.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d4dfb081908c8825d6062b1d99 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.