Triple
T37407710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الحشر |
E929175
|
entity |
| Predicate | تُنسَب إلى |
P181941
|
FINISHED |
| Object | النبي محمد ﷺ من حيث التبليغ |
—
|
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: النبي محمد ﷺ من حيث التبليغ | Statement: [سورة الحشر, تُنسَب إلى, النبي محمد ﷺ من حيث التبليغ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُنسَب إلى Context triple: [سورة الحشر, تُنسَب إلى, النبي محمد ﷺ من حيث التبليغ]
-
A.
atribuidoA
chosen
Indicates that something (such as a work, action, or characteristic) is assigned or credited to a particular entity as its source or author.
-
B.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
C.
transferRelatedTo
Indicates a relationship where one transfer event is associated with, derived from, or otherwise connected to another transfer event.
-
D.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
tiedTo
Indicates that one entity is physically or figuratively fastened, bound, or otherwise constrained in connection to 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.