Triple
T32178841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paycheck Protection Program |
E821927
|
entity |
| Predicate | firstRoundFundingDepletion |
P206215
|
FINISHED |
| Object | 2020-04 |
—
|
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: 2020-04 | Statement: [Paycheck Protection Program, firstRoundFundingDepletion, 2020-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRoundFundingDepletion Context triple: [Paycheck Protection Program, firstRoundFundingDepletion, 2020-04]
-
A.
firstRound
Indicates that the referenced event, match, or interaction occurs in the initial or opening round of a multi-round process or competition.
-
B.
raisedVentureCapital
Indicates that an entity has obtained funding from venture capital investors.
-
C.
fundingLevel
Indicates the amount or degree of financial resources allocated or committed to an entity, project, or activity.
-
D.
fundingStatus
Indicates the current state or condition of financial support or backing associated with an entity or activity.
-
E.
firstLicensingRound
Indicates that the subject is involved in or associated with the initial licensing round for a given resource, service, or activity.
- 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_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:34 a.m.