Triple
T34636796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia–United States relations |
E889448
|
entity |
| Predicate | UnitedStatesExportToColombia |
P124186
|
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: [Colombia–United States relations, UnitedStatesExportToColombia, machinery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UnitedStatesExportToColombia Context triple: [Colombia–United States relations, UnitedStatesExportToColombia, machinery]
-
A.
mainUSExports
chosen
Indicates that the related entity represents one of the primary goods or services exported from the United States.
-
B.
fruitExportDestination
Indicates the place or country to which fruits are exported as their destination.
-
C.
countryOfExport
Indicates that one entity is the country from which another entity (such as a product, shipment, or service) is exported.
-
D.
hasStricterTradeControlsThan
Indicates that one entity enforces more restrictive or rigorous trade regulations or controls than another entity.
-
E.
requiresFromUnitedStates
Indicates that one entity has a requirement that must be fulfilled specifically by the United States.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.