Triple
T1808090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7(a) Loan Program |
E40266
|
entity |
| Predicate | loanStructure |
P32140
|
FINISHED |
| Object | loans made by participating lenders and guaranteed by SBA |
—
|
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: loans made by participating lenders and guaranteed by SBA | Statement: [7(a) Loan Program, loanStructure, loans made by participating lenders and guaranteed by SBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanStructure Context triple: [7(a) Loan Program, loanStructure, loans made by participating lenders and guaranteed by SBA]
-
A.
loanType
Indicates the specific category or kind of loan associated with an entity or transaction.
-
B.
paymentStructure
Indicates how payments are organized, scheduled, and divided between the involved parties.
-
C.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
-
D.
creditSchedule
Indicates a planned or agreed-upon timetable for extending, using, or repaying credit between parties.
-
E.
lender
Indicates a relationship where one party provides something, typically money or resources, to another with the expectation of repayment or return.
- F. None of above. chosen
Provenance (4 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab694bf6a08190a02ce2fc979e6701 |
completed | March 6, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:32 p.m.