Triple
T23513747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Direct Unsubsidized Loan |
E572500
|
entity |
| Predicate | disbursedThrough |
P9378
|
FINISHED |
| Object | school financial aid office |
—
|
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: school financial aid office | Statement: [Direct Unsubsidized Loan, disbursedThrough, school financial aid office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disbursedThrough Context triple: [Direct Unsubsidized Loan, disbursedThrough, school financial aid office]
-
A.
disburses
Indicates the act of paying out or distributing funds or resources from a source to a recipient.
-
B.
depositedOn
Indicates that one entity has placed or stored something onto or into another entity, typically as part of a deposit or accumulation process.
-
C.
disbursementOption
chosen
Indicates the method or arrangement by which funds are paid out or distributed.
-
D.
settledDate
Indicates the date on which a transaction, obligation, or agreement is fully completed and finalized.
-
E.
disbursementFrequency
Indicates how often payments or funds are distributed over a given period.
- 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.