Triple
T3055541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Treasury of Egypt |
E60470
|
entity |
| Predicate | typeOfBudgetRole |
P44809
|
FINISHED |
| Object | treasury operations |
—
|
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: treasury operations | Statement: [Public Treasury of Egypt, typeOfBudgetRole, treasury operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBudgetRole Context triple: [Public Treasury of Egypt, typeOfBudgetRole, treasury operations]
-
A.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
B.
budgetType
Indicates the classification or category of a budget associated with an entity or financial activity.
-
C.
usesSalaryBudgets
Indicates that one entity allocates or manages financial resources for compensation based on predefined salary budgets associated with another entity.
-
D.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
E.
personnelType
Indicates the classification or role category assigned to a person within an organization or system.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf6b9948190bc957bfd1579c471 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.