Triple
T23123109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate PLUS Loan |
E576952
|
entity |
| Predicate | disbursementFrequency |
P150998
|
FINISHED |
| Object | at least once per academic term when possible |
—
|
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: at least once per academic term when possible | Statement: [Graduate PLUS Loan, disbursementFrequency, at least once per academic term when possible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disbursementFrequency Context triple: [Graduate PLUS Loan, disbursementFrequency, at least once per academic term when possible]
-
A.
payFrequency
Indicates how often a payment or series of payments is made within a given time period.
-
B.
redemptionFrequency
Indicates how often a redemption action or event occurs within a given time period.
-
C.
disbursementOption
Indicates the method or arrangement by which funds are paid out or distributed.
-
D.
dividendFrequency
Indicates how often dividend payments are scheduled or distributed over a given period.
-
E.
disburses
Indicates the act of paying out or distributing funds or resources from a source to a recipient.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e517a0481909829a73fdf255d1c |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.