Triple
T29379731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministers of State of Uganda |
E745101
|
entity |
| Predicate | cabinetMeetings |
P166698
|
FINISHED |
| Object | may attend cabinet meetings when required |
—
|
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: may attend cabinet meetings when required | Statement: [Ministers of State of Uganda, cabinetMeetings, may attend cabinet meetings when required]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinetMeetings Context triple: [Ministers of State of Uganda, cabinetMeetings, may attend cabinet meetings when required]
-
A.
locationOfCabinetMeetings
Indicates the place where cabinet meetings are held.
-
B.
frequencyOfMinisterialMeetings
Indicates how often ministerial-level meetings occur within a given period or context.
-
C.
subjectOfUNSecurityCouncilMeetings
Indicates that the entity is the main topic or focus of one or more meetings held by the United Nations Security Council.
-
D.
cabinetOf
Indicates that one entity serves as the cabinet or governing body associated with another entity, typically a state, government, or leader.
-
E.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669cd27708190b55d308baad8a1bf |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:34 p.m.