Triple
T34145394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عيسى بن عمر الثقفي |
E875840
|
entity |
| Predicate | المدرسة |
P159095
|
FINISHED |
| Object | المدرسة البصرية في النحو |
—
|
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 البصرية في النحو | Statement: [عيسى بن عمر الثقفي, المدرسة, المدرسة البصرية في النحو]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المدرسة Context triple: [عيسى بن عمر الثقفي, المدرسة, المدرسة البصرية في النحو]
-
A.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
B.
الجيل
Indicates a generational relationship, linking entities as belonging to the same generation or specifying that one entity is a particular generation relative to another.
-
C.
البنات
Indicates a relationship or action involving girls as the primary participants or subjects.
-
D.
البنت
Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
-
E.
mainSchool
chosen
Indicates that one school is the primary or most important school associated with a given entity.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.