Triple
T24294889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asr |
E605929
|
entity |
| Predicate | hasSunnahBefore |
P155441
|
FINISHED |
| Object | no emphasized sunnah before (majority view) |
—
|
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: no emphasized sunnah before (majority view) | Statement: [Asr, hasSunnahBefore, no emphasized sunnah before (majority view)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSunnahBefore Context triple: [Asr, hasSunnahBefore, no emphasized sunnah before (majority view)]
-
A.
hasHadithMerit
Indicates that there exists supporting or relevant hadith evidence conferring merit, validation, or special status upon the associated entity or action.
-
B.
hasHadithReference
Indicates that there exists a reference or citation linking something to a specific hadith source or passage.
-
C.
basedOnHadith
Indicates that something is derived from, supported by, or directly referencing a specific hadith.
-
D.
hadithStatus
Indicates the classification or evaluation of a hadith’s authenticity or reliability within a given scholarly or doctrinal framework.
-
E.
describedInHadithAs
Indicates that something is mentioned, characterized, or narrated within a hadith text.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f291593c0881908a6827f0d8899fe6 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:09 a.m.