Triple
T1733025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Defense Authorization Acts |
E37854
|
entity |
| Predicate | budgetaryNature |
P31836
|
FINISHED |
| Object | authorization rather than appropriation |
—
|
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: authorization rather than appropriation | Statement: [National Defense Authorization Acts, budgetaryNature, authorization rather than appropriation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: budgetaryNature Context triple: [National Defense Authorization Acts, budgetaryNature, authorization rather than appropriation]
-
A.
budgetaryEffect
Indicates the financial impact or change in budget resulting from a particular action, decision, or policy.
-
B.
budgetFunction
Indicates a relationship where a specific budgeting rule or formula determines how resources or funds are allocated or constrained for an entity or activity.
-
C.
budgetSource
Indicates the origin or provider of the funds used to finance a particular activity, project, or expenditure.
-
D.
budgetType
Indicates the classification or category of a budget associated with an entity or financial activity.
-
E.
budget
Indicates that an entity allocates, plans, or assigns specific financial resources for another entity, activity, or time period.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab5c54362881908895ab249cad8c1d |
completed | March 6, 2026, 10:59 p.m. |
Created at: March 4, 2026, 7:30 p.m.