Triple
T3096811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of Uganda |
E64612
|
entity |
| Predicate | budgetApprovalFrequency |
P45896
|
FINISHED |
| Object | annually |
—
|
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: annually | Statement: [Parliament of Uganda, budgetApprovalFrequency, annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: budgetApprovalFrequency Context triple: [Parliament of Uganda, budgetApprovalFrequency, annually]
-
A.
budgetApprovalRequiredFor
Indicates that obtaining approval for a budget is a necessary prerequisite for proceeding with the associated entity or activity.
-
B.
payFrequency
Indicates how often a payment or series of payments is made within a given time period.
-
C.
budgetLevel
Indicates the relative amount of financial resources allocated or available for something, typically categorized by level (e.g., low, medium, high).
-
D.
meetingFrequency
Indicates how often a meeting or recurring gathering takes place over a given period.
-
E.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23cbe3c8190b7ec5cfd464a1ca8 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.