Triple
T32178958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H.R. 266 |
E821930
|
entity |
| Predicate | programFunded |
P178639
|
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: [H.R. 266, programFunded, Paycheck Protection Program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programFunded Context triple: [H.R. 266, programFunded, Paycheck Protection Program]
-
A.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
-
B.
supportingProgram
Indicates that one program provides assistance, resources, or backing to another program or initiative.
-
C.
fundedProject
Indicates that a funding entity has provided financial support to a specific project.
-
D.
supportProgram
Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
-
E.
publiclyFunded
Indicates that the entity receives financial support from public sources such as government budgets or taxpayer funds.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: May 1, 2026, 12:34 a.m.