Triple
T6167188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Direct Consolidation Loan |
E137596
|
entity |
| Predicate | effectOnLoans |
P69172
|
FINISHED |
| Object | pays off underlying eligible federal loans |
—
|
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: pays off underlying eligible federal loans | Statement: [Direct Consolidation Loan, effectOnLoans, pays off underlying eligible federal loans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnLoans Context triple: [Direct Consolidation Loan, effectOnLoans, pays off underlying eligible federal loans]
-
A.
effectOnInstitution
Indicates the impact or influence that one entity, event, or action has on an institution’s state, functioning, or outcomes.
-
B.
effectOnTaxes
Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
-
C.
affectsBenefit
Indicates that one entity has an influence on, modifies, or determines the benefit or advantage received by another entity.
-
D.
effectOnMembers
Indicates the impact or influence that something has on the members of a group or organization.
-
E.
effectOnSchedule
Indicates how an event, action, or condition changes, disrupts, or influences a planned schedule or timeline.
- 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_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. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:17 p.m.