Triple
T6245742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Family Education Loan Program |
E139716
|
entity |
| Predicate | loanTypeOffered |
P9377
|
FINISHED |
| Object | Subsidized Stafford 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: Subsidized Stafford Loan | Statement: [Federal Family Education Loan Program, loanTypeOffered, Subsidized Stafford Loan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanTypeOffered Context triple: [Federal Family Education Loan Program, loanTypeOffered, Subsidized Stafford Loan]
-
A.
loanType
chosen
Indicates the specific category or kind of loan associated with an entity or transaction.
-
B.
offeringType
Indicates the category or nature of what is being offered in a transaction or interaction (e.g., product, service, or other type of offering).
-
C.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
-
D.
offersPlanType
Indicates that one entity provides or makes available a specific type of plan to another entity or in a given context.
-
E.
offersEnrollmentType
Indicates that an entity provides or makes available a specific type or category of enrollment option.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631d9e648190a59ab4001f506424 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.