Triple
T1205042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Direct Student Loan Program |
E25868
|
entity |
| Predicate | coversCosts |
P25541
|
FINISHED |
| Object | tuition and fees |
—
|
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: tuition and fees | Statement: [Federal Direct Student Loan Program, coversCosts, tuition and fees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversCosts Context triple: [Federal Direct Student Loan Program, coversCosts, tuition and fees]
-
A.
recoversCostsVia
Indicates that one party regains or offsets its incurred costs through a specified mechanism, source, or intermediary.
-
B.
estimatedCost
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
C.
costToUser
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
D.
reducedCostOf
Indicates that one entity represents a lowered or discounted cost associated with another entity, typically compared to a standard or original price.
-
E.
charge
Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc0f8d08190b340012a9eb26275 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bcc82e38819081c3615e1cc7a66f |
completed | March 1, 2026, 10:25 p.m. |
Created at: March 1, 2026, 7:46 p.m.