Triple
T29483662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الوحي الإلهي المنزل على النبي محمد صلى الله عليه وسلم |
E747859
|
entity |
| Predicate | ينقسم إلى |
P99142
|
FINISHED |
| Object | مكي |
—
|
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: مكي | Statement: [الوحي الإلهي المنزل على النبي محمد صلى الله عليه وسلم, ينقسم إلى, مكي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ينقسم إلى Context triple: [الوحي الإلهي المنزل على النبي محمد صلى الله عليه وسلم, ينقسم إلى, مكي]
-
A.
sometimesDividedInto
Indicates that an entity is on some occasions partitioned or separated into distinct parts, sections, or groups, but not always.
-
B.
separatedInto
Indicates that something has been divided or split into distinct parts, groups, or components.
-
C.
dividedIn
chosen
Indicates that one entity is partitioned or separated into multiple distinct parts, sections, or groups represented by another entity.
-
D.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
-
E.
isDividedFrom
Indicates that one entity is separated or partitioned from another, typically by a boundary, barrier, or dividing line.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bdbc7e88190a5fe93938d0cdc7c |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:06 p.m.