Triple
T25861036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المذهب الحنبلي |
E651476
|
entity |
| Predicate | من كتبه المختصرة |
P20447
|
FINISHED |
| Object | دليل الطالب لنيل المطالب |
—
|
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: دليل الطالب لنيل المطالب | Statement: [المذهب الحنبلي, من كتبه المختصرة, دليل الطالب لنيل المطالب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من كتبه المختصرة Context triple: [المذهب الحنبلي, من كتبه المختصرة, دليل الطالب لنيل المطالب]
-
A.
مصنفات_منسوبة_إليه
Indicates that certain works or writings are attributed to the referenced entity as their author or creator.
-
B.
من أعلامه
Indicates that something or someone is among the notable figures, landmarks, or distinguishing symbols associated with a particular entity (such as a place, field, or group).
-
C.
شرحه
Indicates that one entity explains, interprets, or clarifies something to another entity.
-
D.
وصفه
Indicates that one entity describes, characterizes, or portrays another entity.
-
E.
abridgedIn
chosen
Indicates that one entity is a shortened or condensed version of the content found within another 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026b467c8190a1f8be336f8679da |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:05 a.m.