Triple
T11150333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghanistan–United States relations |
E263766
|
entity |
| Predicate | U.S.aidType |
P52549
|
FINISHED |
| Object | security assistance |
—
|
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: security assistance | Statement: [Afghanistan–United States relations, U.S.aidType, security assistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: U.S.aidType Context triple: [Afghanistan–United States relations, U.S.aidType, security assistance]
-
A.
providedMilitaryAidTo
Indicates that one entity has supplied military assistance, such as weapons, training, funding, or logistical support, to another entity.
-
B.
receivesMilitaryAidFrom
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
-
C.
internationalAid
chosen
Indicates the provision of assistance or resources from one country or international entity to another, typically to support development, relief, or crisis response.
-
D.
diplomaticSupportFrom
Indicates that one entity provides diplomatic backing, advocacy, or assistance to another in international or political affairs.
-
E.
typeOfAmnesty
Indicates the specific category or kind of amnesty that applies in a given legal or political context.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.