Triple
T25814515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الجامعة الإسلامية بالمدينة المنورة |
E650210
|
entity |
| Predicate | المنهج |
P58192
|
FINISHED |
| Object | الاعتدال والوسطية في التعليم الإسلامي |
—
|
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: الاعتدال والوسطية في التعليم الإسلامي | Statement: [الجامعة الإسلامية بالمدينة المنورة, المنهج, الاعتدال والوسطية في التعليم الإسلامي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المنهج Context triple: [الجامعة الإسلامية بالمدينة المنورة, المنهج, الاعتدال والوسطية في التعليم الإسلامي]
-
A.
course
Indicates that an entity is an academic class or unit of instruction offered within an educational program.
-
B.
curriculumType
chosen
Indicates the classification or category of curriculum associated with an educational program or course.
-
C.
onCourse
Indicates that one entity is currently enrolled in, participating in, or following a particular course.
-
D.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a course.
-
E.
trainingMethod
Indicates the specific approach, technique, or procedure used to train an entity (such as a person, model, or system).
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c84ac4819091492e52a5a8b873 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:12 a.m.