Triple
T34636791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia–United States relations |
E889448
|
entity |
| Predicate | ColombianExportToUnitedStates |
P179722
|
FINISHED |
| Object | crude oil |
—
|
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: crude oil | Statement: [Colombia–United States relations, ColombianExportToUnitedStates, crude oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ColombianExportToUnitedStates Context triple: [Colombia–United States relations, ColombianExportToUnitedStates, crude oil]
-
A.
mainUSExports
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.
colonialExports
Indicates that one entity exports goods, resources, or products from a colony to another entity or destination.
-
D.
countryOfExport
Indicates that one entity is the country from which another entity (such as a product, shipment, or service) is exported.
-
E.
majorExportersInclude
Indicates that a specified set of entities is among the primary exporters of a particular good, service, or resource.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:04 a.m.