Triple
T9791253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CARES Act supplemental COVID-19 relief provisions in Consolidated Appropriations Act, 2021 |
E237611
|
entity |
| Predicate | directPaymentAmountPerChildUSD |
P24625
|
FINISHED |
| Object | 600 |
—
|
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: 600 | Statement: [CARES Act supplemental COVID-19 relief provisions in Consolidated Appropriations Act, 2021, directPaymentAmountPerChildUSD, 600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directPaymentAmountPerChildUSD Context triple: [CARES Act supplemental COVID-19 relief provisions in Consolidated Appropriations Act, 2021, directPaymentAmountPerChildUSD, 600]
-
A.
reparationAmountPerPerson
Indicates the specific amount of reparations allocated or owed to each individual person involved.
-
B.
paymentAmount
chosen
Indicates the specific monetary value involved in a payment transaction between parties.
-
C.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
D.
owedMoneyTo
Indicates that one entity has a financial obligation or debt that must be paid to another entity.
-
E.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
- 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_69cda3456bac819097afb20ce9081dd7 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.