Triple
T5324709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risk Management Agency |
E121757
|
entity |
| Predicate | subsidizes |
P1853
|
FINISHED |
| Object | premiums for eligible crop insurance policies |
—
|
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: premiums for eligible crop insurance policies | Statement: [Risk Management Agency, subsidizes, premiums for eligible crop insurance policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsidizes Context triple: [Risk Management Agency, subsidizes, premiums for eligible crop insurance policies]
-
A.
subsidizedInterest
Indicates that the interest on a loan or financial obligation is partially or fully paid or reduced by a third party, typically a government or institution, rather than borne entirely by the borrower.
-
B.
supportedGovernment
Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
-
C.
underpins
Indicates that one entity serves as the fundamental basis, support, or justification for another.
-
D.
support
chosen
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
E.
compensated
Indicates that one entity provides payment or some form of recompense to another entity in return for goods, services, or loss incurred.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.