Triple
T24001100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مصرف لبنان |
E594249
|
entity |
| Predicate | المهمة |
P68
|
FINISHED |
| Object | المحافظة على سلامة النقد اللبناني |
—
|
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: المحافظة على سلامة النقد اللبناني | Statement: [مصرف لبنان, المهمة, المحافظة على سلامة النقد اللبناني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المهمة Context triple: [مصرف لبنان, المهمة, المحافظة على سلامة النقد اللبناني]
-
A.
missionPriority
Indicates the relative level of importance or urgency assigned to a mission compared to other missions or tasks.
-
B.
missionFirst
Indicates that one entity prioritizes accomplishing a mission or objective above other considerations or interests.
-
C.
mission
chosen
Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
-
D.
بداية المنصب
Indicates the starting point in time when an entity officially assumes a position or office.
-
E.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
- 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.