Triple
T34145395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عيسى بن عمر الثقفي |
E875840
|
entity |
| Predicate | المذهب النحوي |
P52406
|
FINISHED |
| Object | البصريون |
—
|
NE NERFINISHED |
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: البصريون | Statement: [عيسى بن عمر الثقفي, المذهب النحوي, البصريون]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المذهب النحوي Context triple: [عيسى بن عمر الثقفي, المذهب النحوي, البصريون]
-
A.
المذهب اللغوي
Indicates a linguistic school or approach that characterizes how language is analyzed, interpreted, or used.
-
B.
madhhab
chosen
Indicates the school of thought or legal tradition within a broader religious or jurisprudential system that an entity follows or is associated with.
-
C.
فئة_تجويدية
Indicates a classification relationship where an entity is assigned to a specific tajwīd (Qur’anic recitation rules) category or class.
-
D.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
E.
الانتماء الفقهي
Indicates the doctrinal or jurisprudential school to which an entity is affiliated or adheres.
- 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.