Triple
T23513796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Perkins Loan |
E572501
|
entity |
| Predicate | repaymentStatus |
P51178
|
FINISHED |
| Object | existing loans still repayable |
—
|
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: existing loans still repayable | Statement: [Federal Perkins Loan, repaymentStatus, existing loans still repayable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repaymentStatus Context triple: [Federal Perkins Loan, repaymentStatus, existing loans still repayable]
-
A.
repaymentOutcome
chosen
Indicates the result or status of a repayment action, such as whether it was completed, failed, or partially fulfilled.
-
B.
repaymentFeature
Indicates that one entity provides terms, options, or mechanisms for repaying a debt, loan, or owed amount to another entity.
-
C.
repaymentTrigger
Indicates that a specific event or condition causes a repayment obligation to become due or activated.
-
D.
repaymentRequirement
Indicates that one party is obligated to pay back money or value to another party under specified terms or conditions.
-
E.
repaymentPlanEligibility
Indicates whether an entity qualifies to enter into or maintain a specified repayment plan under defined rules or criteria.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80174c819088c9c19fdcf2a133 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.