Triple
T33937981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدرسة النحوية البصرية |
E870085
|
entity |
| Predicate | تُقابَل_من_حيث_المنهج |
P107791
|
FINISHED |
| Object | المدرسة الكوفية الأكثر تساهلاً في السماع |
—
|
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: المدرسة الكوفية الأكثر تساهلاً في السماع | Statement: [المدرسة النحوية البصرية, تُقابَل_من_حيث_المنهج, المدرسة الكوفية الأكثر تساهلاً في السماع]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُقابَل_من_حيث_المنهج Context triple: [المدرسة النحوية البصرية, تُقابَل_من_حيث_المنهج, المدرسة الكوفية الأكثر تساهلاً في السماع]
-
A.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
B.
methodologyType
Indicates the specific kind or category of method or procedure used in carrying out an activity or study.
-
C.
opposedApproach
chosen
Indicates that one entity actively disagrees with, resists, or works against the method, strategy, or course of action proposed or taken by another entity.
-
D.
مفهوم_حديثاً
Indicates that something has been recently conceptualized, defined, or introduced as a concept.
-
E.
approche
Indicates that one entity moves or positions itself closer to another entity or reference point.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.