Triple
T34636787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia–United States relations |
E889448
|
entity |
| Predicate | U.S.AssistanceType |
P73697
|
FINISHED |
| Object | military aid |
—
|
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: military aid | Statement: [Colombia–United States relations, U.S.AssistanceType, military aid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: U.S.AssistanceType Context triple: [Colombia–United States relations, U.S.AssistanceType, military aid]
-
A.
providedEconomicAidTo
Indicates that one entity has given financial or material support to another entity, typically to assist with economic needs or development.
-
B.
providedMilitaryAidTo
chosen
Indicates that one entity has supplied military assistance, such as weapons, training, funding, or logistical support, to another entity.
-
C.
UnitedStatesForeignAidAgency
Indicates an agency that provides or manages foreign aid on behalf of the United States.
-
D.
receivesMilitaryAidFrom
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
-
E.
grantsToUS
Indicates that something (such as a right, privilege, or benefit) is formally given or conferred to 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.