Triple
T10625262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–South Africa relations |
E250305
|
entity |
| Predicate | majorUSExportsToSouthAfrica |
P5775
|
FINISHED |
| Object | machinery |
—
|
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: machinery | Statement: [United States–South Africa relations, majorUSExportsToSouthAfrica, machinery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorUSExportsToSouthAfrica Context triple: [United States–South Africa relations, majorUSExportsToSouthAfrica, machinery]
-
A.
majorExport
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
-
B.
hasStricterTradeControlsThan
Indicates that one entity enforces more restrictive or rigorous trade regulations or controls than another entity.
-
C.
purchasedByUnitedStatesIn
Indicates that something was bought or acquired by the United States during a specified time period.
-
D.
exportedTo
chosen
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
E.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df80a30c81909f36fe221cf68822 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:54 p.m.