Triple
T78439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Americans |
E1571
|
entity |
| Predicate | historicalExperience |
P1409
|
FINISHED |
| Object | transatlantic slave trade |
—
|
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: transatlantic slave trade | Statement: [Black Americans, historicalExperience, transatlantic slave trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalExperience Context triple: [Black Americans, historicalExperience, transatlantic slave trade]
-
A.
historicalOutcome
Indicates the result or consequence that an event, action, or situation produced in a historical context.
-
B.
historicalAssessment
Indicates an evaluation or judgment of something based on its historical context, significance, or development over time.
-
C.
hasHistoricalContext
chosen
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
-
D.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
E.
historicalFunction
Indicates the role, purpose, or activity an entity had during a past period or in a historical context.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2559892dc81909303f2eefdc0025f |
completed | Feb. 28, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69a24eaf99e481908e8d314577e22ecf |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.