Triple
T27172626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عماد فايز مغنية |
E682959
|
entity |
| Predicate | الصفة الأمنية |
P161932
|
FINISHED |
| Object | شخصية سرية |
—
|
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: شخصية سرية | Statement: [عماد فايز مغنية, الصفة الأمنية, شخصية سرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الصفة الأمنية Context triple: [عماد فايز مغنية, الصفة الأمنية, شخصية سرية]
-
A.
خصوصیت
Indicates that an entity possesses a certain attribute, quality, or characteristic.
-
B.
securityFeaturesInclude
Indicates that a system, product, or environment possesses or is equipped with specific security features as part of its protective measures.
-
C.
securityFeature
Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
-
D.
له طابع
Indicates that something possesses or exhibits a particular character, style, or distinctive quality.
-
E.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62549039c8190af7159d07416c985 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 9:24 a.m.