Triple
T25861121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أبو الفرج ابن الجوزي |
E651478
|
entity |
| Predicate | النشاط الرئيس |
P159366
|
FINISHED |
| Object | التدريس والوعظ في المساجد والمدارس |
—
|
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: التدريس والوعظ في المساجد والمدارس | Statement: [أبو الفرج ابن الجوزي, النشاط الرئيس, التدريس والوعظ في المساجد والمدارس]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: النشاط الرئيس Context triple: [أبو الفرج ابن الجوزي, النشاط الرئيس, التدريس والوعظ في المساجد والمدارس]
-
A.
بداية المنصب
Indicates the starting point in time when an entity officially assumes a position or office.
-
B.
الجمهور الأساسي
Indicates the primary or main audience that something is intended to reach or address.
-
C.
主なレジャー
Indicates the primary or most common leisure activity associated with an entity.
-
D.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
E.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
- 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_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_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 8:05 a.m.