Triple
T25456717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ضرار بن عبد المطلب |
E637932
|
entity |
| Predicate | أم |
P74792
|
FINISHED |
| Object | غير معروف على وجه التحديد في المصادر المتداولة |
—
|
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: غير معروف على وجه التحديد في المصادر المتداولة | Statement: [ضرار بن عبد المطلب, أم, غير معروف على وجه التحديد في المصادر المتداولة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أم Context triple: [ضرار بن عبد المطلب, أم, غير معروف على وجه التحديد في المصادر المتداولة]
-
A.
الأم
chosen
Indicates a maternal relationship where one entity is the mother of another entity.
-
B.
נחשב
Indicates that something or someone is regarded, considered, or deemed to have a certain status, quality, or classification.
-
C.
מאה
Indicates a numerical relationship where a quantity, measure, or value equals one hundred units.
-
D.
ألف
Indicates that an entity is associated with or characterized by the concept denoted by "ألف" in relation to another entity.
-
E.
כולל
Indicates that something contains, includes, or encompasses something else as a part or subset.
- 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_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. |
Created at: April 21, 2026, 2:10 p.m.