Triple
T1553652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stono Rebellion |
E33150
|
entity |
| Predicate | involvedEthnicGroups |
P12220
|
FINISHED |
| Object | Kongo-speaking Africans |
—
|
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: Kongo-speaking Africans | Statement: [Stono Rebellion, involvedEthnicGroups, Kongo-speaking Africans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedEthnicGroups Context triple: [Stono Rebellion, involvedEthnicGroups, Kongo-speaking Africans]
-
A.
involvedEthnicGroup
chosen
Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
-
B.
affectedEthnicGroup
Indicates that a particular ethnic group is impacted or influenced by an event, condition, policy, or action.
-
C.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
-
D.
relatedEthnicGroup
Indicates that there is a notable ethnic connection or association between two ethnic groups, such as shared ancestry, culture, or historical ties.
-
E.
ethnicGroupResearched
Indicates that a particular ethnic group is the subject or focus of a research activity or study conducted by an entity.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.