Triple
T33457429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ابن جني |
E856815
|
entity |
| Predicate | المذهب اللغوي |
P176644
|
FINISHED |
| Object | مدرسة البصرة النحوية |
—
|
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: مدرسة البصرة النحوية | Statement: [ابن جني, المذهب اللغوي, مدرسة البصرة النحوية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المذهب اللغوي Context triple: [ابن جني, المذهب اللغوي, مدرسة البصرة النحوية]
-
A.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
B.
زبان بوستان
Indicates a relationship where something is expressed, written, or presented in the language or linguistic style of “بوستان” (Bostan).
-
C.
الانتماء الفقهي
Indicates the doctrinal or jurisprudential school to which an entity is affiliated or adheres.
-
D.
laterTraditionsLanguage
Indicates that later traditions or sources refer to or describe the subject using the specified language.
-
E.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:37 a.m.