Triple
T9791209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paycheck Protection Program and Health Care Enhancement Act |
E237610
|
entity |
| Predicate | appropriatesForPPPUSD |
P27313
|
FINISHED |
| Object | 310000000000 |
—
|
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: 310000000000 | Statement: [Paycheck Protection Program and Health Care Enhancement Act, appropriatesForPPPUSD, 310000000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appropriatesForPPPUSD Context triple: [Paycheck Protection Program and Health Care Enhancement Act, appropriatesForPPPUSD, 310000000000]
-
A.
authorizedAppropriations
chosen
Indicates that a governing body has formally approved the allocation of funds for a specific purpose or activity.
-
B.
receivesAppropriations
Indicates that one entity obtains or is allocated funding or resources through formal appropriations from another entity or authority.
-
C.
governmentSponsor
Indicates that a government entity provides funding, support, or backing for another entity, project, or activity.
-
D.
apportionedTo
Indicates that something has been divided and assigned in specific shares or portions to a particular recipient or target.
-
E.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda215b3108190a897552e1dc91cc4 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.