Triple
T30818147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | السنة النبوية |
E784841
|
entity |
| Predicate | شرعاً تعني |
P47490
|
FINISHED |
| Object | ما صدر عن النبي محمد ﷺ مما يصلح أن يكون دليلاً شرعياً |
—
|
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: ما صدر عن النبي محمد ﷺ مما يصلح أن يكون دليلاً شرعياً | Statement: [السنة النبوية, شرعاً تعني, ما صدر عن النبي محمد ﷺ مما يصلح أن يكون دليلاً شرعياً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: شرعاً تعني Context triple: [السنة النبوية, شرعاً تعني, ما صدر عن النبي محمد ﷺ مما يصلح أن يكون دليلاً شرعياً]
-
A.
stripeMeaning
Indicates that one entity’s stripes symbolize, represent, or convey a particular meaning or significance in relation to another entity or context.
-
B.
CISMeaning
chosen
Indicates that one concept, term, or symbol conveys, expresses, or stands for a particular meaning or interpretation in a given context.
-
C.
S1Meaning
Indicates that the first subject (S1) conveys or expresses a particular meaning or sense.
-
D.
S0Meaning
Indicates that something conveys, expresses, or represents a particular meaning or sense.
-
E.
legalDefinitionCompleted
Indicates that the process of establishing or finalizing the formal legal definition of something has been completed.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.