Triple
T25456722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ضرار بن عبد المطلب |
E637932
|
entity |
| Predicate | دين |
P158556
|
FINISHED |
| Object | الجاهلية: على دين قومه قبل الإسلام |
—
|
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: الجاهلية: على دين قومه قبل الإسلام | Statement: [ضرار بن عبد المطلب, دين, الجاهلية: على دين قومه قبل الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: دين Context triple: [ضرار بن عبد المطلب, دين, الجاهلية: على دين قومه قبل الإسلام]
-
A.
נחשב
Indicates that something or someone is regarded, considered, or deemed to have a certain status, quality, or classification.
-
B.
يدير
Indicates that an entity manages, directs, or oversees another entity, activity, or process.
-
C.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
D.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
-
E.
الضفة
Indicates a spatial relationship where something is located on or associated with a particular bank or side of a river, sea, or similar boundary.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72756748190aa315cc00882a798 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:10 p.m.