Triple
T11349520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoweri Museveni |
E268803
|
entity |
| Predicate | involvedInIssue |
P74692
|
FINISHED |
| Object | regional conflicts in the Great Lakes region |
—
|
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: regional conflicts in the Great Lakes region | Statement: [Yoweri Museveni, involvedInIssue, regional conflicts in the Great Lakes region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedInIssue Context triple: [Yoweri Museveni, involvedInIssue, regional conflicts in the Great Lakes region]
-
A.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
B.
hasBeenInvolvedIn
chosen
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
-
C.
mayBeInvolvedIn
Indicates that an entity has a possible, but not certain, participation or role in a particular event, activity, or situation.
-
D.
stillInvolvedIn
Indicates that an entity continues to participate in or be associated with a particular activity, role, or relationship at the present time.
-
E.
hasMemberInvolvedIn
Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.