Triple
T33457452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ابن جني |
E856815
|
entity |
| Predicate | موضوع كتاب سر صناعة الإعراب |
P177037
|
FINISHED |
| Object | الصوتيات ومخارج الحروف |
—
|
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: الصوتيات ومخارج الحروف | Statement: [ابن جني, موضوع كتاب سر صناعة الإعراب, الصوتيات ومخارج الحروف]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: موضوع كتاب سر صناعة الإعراب Context triple: [ابن جني, موضوع كتاب سر صناعة الإعراب, الصوتيات ومخارج الحروف]
-
A.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
B.
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).
-
C.
شرحه
Indicates that one entity explains, interprets, or clarifies something to another entity.
-
D.
تذكر كتاب الأبرار
Indicates that an entity recalls or mentions the book of the righteous.
-
E.
اللقب الصوفي
Indicates a relationship where a person is associated with or known by a specific Sufi honorific or spiritual title.
- 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_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:37 a.m.