Triple
T32178919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PPP and Health Care Enhancement Act |
E821929
|
entity |
| Predicate | targetsProgram |
P133401
|
FINISHED |
| Object | Paycheck Protection Program |
—
|
NE NERFINISHED |
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: Paycheck Protection Program | Statement: [PPP and Health Care Enhancement Act, targetsProgram, Paycheck Protection Program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsProgram Context triple: [PPP and Health Care Enhancement Act, targetsProgram, Paycheck Protection Program]
-
A.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
B.
programTarget
chosen
Indicates that a program or initiative is directed toward, intended for, or focused on a particular target entity.
-
C.
targetsProcess
Indicates that one entity is directed toward affecting, influencing, or acting upon a specific process.
-
D.
targetsProvision
Indicates that one entity is the intended recipient or beneficiary of a provision, service, or resource supplied by another entity.
-
E.
targetsUseCase
Indicates that one entity is aimed at or designed to address a particular use case associated with another entity.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: May 1, 2026, 12:34 a.m.