Triple
T24001124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مصرف لبنان |
E594249
|
entity |
| Predicate | يطبق |
P4794
|
FINISHED |
| Object | سياسات نقدية تشمل أسعار الفائدة والاحتياطي الإلزامي |
—
|
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: سياسات نقدية تشمل أسعار الفائدة والاحتياطي الإلزامي | Statement: [مصرف لبنان, يطبق, سياسات نقدية تشمل أسعار الفائدة والاحتياطي الإلزامي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يطبق Context triple: [مصرف لبنان, يطبق, سياسات نقدية تشمل أسعار الفائدة والاحتياطي الإلزامي]
-
A.
appliedAs
Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
-
B.
appliesVia
Indicates that an action, rule, or effect is carried out, implemented, or achieved through a specified method, medium, or mechanism.
-
C.
misappliedAs
Indicates that something has been used, interpreted, or assigned in an incorrect, inappropriate, or unintended way.
-
D.
appliedBy
chosen
Indicates that an action, process, or treatment is carried out or executed by a particular agent or entity.
-
E.
эксплуатируется
Indicates that one entity is being used or operated by another, often in a way that takes advantage of its resources, capabilities, or labor.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d464f1988190a0a9352c1ec214eb |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:39 p.m.