Triple
T23123212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revised Pay As You Earn |
E576955
|
entity |
| Predicate | paymentPercentageCap |
P151005
|
FINISHED |
| Object | 10 percent of discretionary income |
—
|
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: 10 percent of discretionary income | Statement: [Revised Pay As You Earn, paymentPercentageCap, 10 percent of discretionary income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentPercentageCap Context triple: [Revised Pay As You Earn, paymentPercentageCap, 10 percent of discretionary income]
-
A.
monetaryLimit
Indicates a constraint or maximum allowable amount of money associated with an action, transaction, or relationship.
-
B.
subjectToAnnualCap
Indicates that the related amount, usage, or activity is limited by a maximum allowable value that applies on an annual basis.
-
C.
creditPercentage
Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
-
D.
maximumGrantAmount
Indicates the highest monetary value that can be awarded or granted under a specific grant, program, or agreement.
-
E.
fundingCapType
Indicates the classification or category of a limit placed on the amount of funding that can be provided.
- 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.