Triple
T22526253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | زكريا عزمي |
E556911
|
entity |
| Predicate | خضع للمحاكمة في |
P1692
|
FINISHED |
| Object | قضايا كسب غير مشروع |
—
|
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 كسب غير مشروع | Statement: [زكريا عزمي, خضع للمحاكمة في, قضايا كسب غير مشروع]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: خضع للمحاكمة في Context triple: [زكريا عزمي, خضع للمحاكمة في, قضايا كسب غير مشروع]
-
A.
appearsInCourt
Indicates that an entity is formally present and participating in a legal proceeding before a court.
-
B.
trialHeldIn
Indicates that a legal trial took place or was conducted within a specified location or jurisdiction.
-
C.
trialHeld
Indicates that a formal legal proceeding or court trial has taken place regarding a particular case or dispute.
-
D.
heldCourtIn
Indicates that an authority or governing body formally conducted judicial or official proceedings in a particular place.
-
E.
prosecuted
chosen
Indicates that legal authorities have formally brought criminal charges against an entity and pursued a case against them in a court of law.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:51 p.m.