Triple
T12029335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq Liberation Act |
E286359
|
entity |
| Predicate | authorizedMilitaryAssistanceAmount |
P432
|
FINISHED |
| Object | $97,000,000 |
—
|
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: $97,000,000 | Statement: [Iraq Liberation Act, authorizedMilitaryAssistanceAmount, $97,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorizedMilitaryAssistanceAmount Context triple: [Iraq Liberation Act, authorizedMilitaryAssistanceAmount, $97,000,000]
-
A.
annualUSMilitaryAidApprox
Indicates the approximate amount of military aid the United States provides to a recipient on an annual basis.
-
B.
providedMilitaryAidTo
Indicates that one entity has supplied military assistance, such as weapons, training, funding, or logistical support, to another entity.
-
C.
receivesMilitaryAidFrom
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
-
D.
totalAidAmountUSD
chosen
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
E.
warIndemnityAmount
Indicates the amount of financial compensation required or paid as indemnity as a result of a war or armed conflict.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.