Triple
T32278018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 116-139 |
E824612
|
entity |
| Predicate | programAffected |
P13559
|
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: [Public Law 116-139, programAffected, Paycheck Protection Program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programAffected Context triple: [Public Law 116-139, programAffected, Paycheck Protection Program]
-
A.
affectsProgram
chosen
Indicates that one entity produces an influence or change on a program, altering its behavior, state, or outcome.
-
B.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
C.
affectedProject
Indicates that one entity has an impact on, or is influenced by, a particular project.
-
D.
affectsProcess
Indicates that one entity has an influence on, alters, or changes the course or outcome of a process.
-
E.
operatorAffected
Indicates that an operator is impacted or influenced by a particular action, event, or condition.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 12:43 a.m.