Triple
T26658911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H.R. 1424 |
E666584
|
entity |
| Predicate | authorizesSpendingUpTo |
P7930
|
FINISHED |
| Object | 700 billion United States dollars |
—
|
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: 700 billion United States dollars | Statement: [H.R. 1424, authorizesSpendingUpTo, 700 billion United States dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorizesSpendingUpTo Context triple: [H.R. 1424, authorizesSpendingUpTo, 700 billion United States dollars]
-
A.
authorizedSpending
chosen
Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
-
B.
monetaryLimit
Indicates a constraint or maximum allowable amount of money associated with an action, transaction, or relationship.
-
C.
overseesSpendingOf
Indicates that one entity has authority to monitor, direct, or control how another entity’s funds or budget are used.
-
D.
spendingRequires
Indicates that performing a spending action is contingent upon satisfying a specified requirement or condition.
-
E.
authorizedBudget
Indicates that a specified budget amount has been formally approved for use by or for a particular entity or purpose.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 2:36 a.m.