Triple
T6167182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Direct Consolidation Loan |
E137596
|
entity |
| Predicate | ineligibleLoanType |
P50612
|
FINISHED |
| Object | private education loan |
—
|
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: private education loan | Statement: [Direct Consolidation Loan, ineligibleLoanType, private education loan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ineligibleLoanType Context triple: [Direct Consolidation Loan, ineligibleLoanType, private education loan]
-
A.
nonEligibility
chosen
Indicates that an entity does not meet the required conditions or criteria to qualify for a specified status, benefit, or action.
-
B.
eligibleBorrower
Indicates that an entity meets the required conditions to be allowed to borrow (e.g., money, items, or resources) under a given set of rules or policies.
-
C.
loanType
Indicates the specific category or kind of loan associated with an entity or transaction.
-
D.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
-
E.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d647ae48190a1db07b4f4a06e67 |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.