Triple
T22658071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يوسف والي |
E559283
|
entity |
| Predicate | اتهم في |
P54285
|
FINISHED |
| Object | قضايا فساد مرتبطة بملف المبيدات |
—
|
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: قضايا فساد مرتبطة بملف المبيدات | Statement: [يوسف والي, اتهم في, قضايا فساد مرتبطة بملف المبيدات]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اتهم في Context triple: [يوسف والي, اتهم في, قضايا فساد مرتبطة بملف المبيدات]
-
A.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
-
B.
attacksIf
Indicates that one entity initiates or carries out an attack on another entity when certain conditions are met.
-
C.
targetOfThreat
Indicates that one entity is the recipient or intended victim of a threat made by another entity.
-
D.
accusationTarget
chosen
Indicates that one entity is the object or recipient of an accusation made by another entity.
-
E.
isSuspiciousOf
Indicates that one entity believes another entity or situation may be untrustworthy, harmful, or involved in wrongdoing.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765d10588190b4574f3e64617cd4 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.