Triple
T25814509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الجامعة الإسلامية بالمدينة المنورة |
E650210
|
entity |
| Predicate | تقدم |
P159302
|
FINISHED |
| Object | برامج في العلوم الشرعية |
—
|
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: برامج في العلوم الشرعية | Statement: [الجامعة الإسلامية بالمدينة المنورة, تقدم, برامج في العلوم الشرعية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تقدم Context triple: [الجامعة الإسلامية بالمدينة المنورة, تقدم, برامج في العلوم الشرعية]
-
A.
turnedPro
Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
-
B.
forward
Indicates that one entity sends, directs, or passes something on to another entity, typically along a path or sequence.
-
C.
transition
Indicates a change of state or condition from one form, phase, or situation to another.
-
D.
promotionTo
Indicates that one entity is elevated or advanced to a higher rank, position, or status relative to another entity or context.
-
E.
pass
Indicates that one entity successfully transfers or moves something (such as an object, information, or a turn) to another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 7:12 a.m.