Triple
T16663305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Latin America trade |
E404913
|
entity |
| Predicate | mainUSExports |
P124186
|
FINISHED |
| Object | manufactured goods |
—
|
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: manufactured goods | Statement: [United States–Latin America trade, mainUSExports, manufactured goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainUSExports Context triple: [United States–Latin America trade, mainUSExports, manufactured goods]
-
A.
USProvides
Indicates that the United States supplies, furnishes, or makes available something (such as aid, resources, services, or support) to another entity.
-
B.
purchasedByUnitedStatesIn
Indicates that something was bought or acquired by the United States during a specified time period.
-
C.
hasUSAN
Indicates that an entity has a specified United States Adopted Name (USAN), typically a nonproprietary name assigned to a pharmaceutical substance.
-
D.
U.S.component
Indicates that something is a constituent part, subdivision, or member unit within the United States.
-
E.
salesUS
Indicates a relationship where sales activity, revenue, or transactions are specifically associated with the United States.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9afd048190b73bbc9c423915ca |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:18 a.m.