Triple
T29483632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الوحي الإلهي المنزل على النبي محمد صلى الله عليه وسلم |
E747859
|
entity |
| Predicate | غرض |
P64674
|
FINISHED |
| Object | هداية البشر |
—
|
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: هداية البشر | Statement: [الوحي الإلهي المنزل على النبي محمد صلى الله عليه وسلم, غرض, هداية البشر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: غرض Context triple: [الوحي الإلهي المنزل على النبي محمد صلى الله عليه وسلم, غرض, هداية البشر]
-
A.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
B.
purpose
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
allegedGoal
Indicates that one entity is claimed or reported to have the goal or intended objective of another entity, without asserting that the goal is actually true.
-
E.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
- 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_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:06 p.m.