Triple
T12445222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deficit Reduction Act of 2005 |
E297380
|
entity |
| Predicate | budgetaryMechanism |
P105058
|
FINISHED |
| Object | reconciliation bill |
—
|
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: reconciliation bill | Statement: [Deficit Reduction Act of 2005, budgetaryMechanism, reconciliation bill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: budgetaryMechanism Context triple: [Deficit Reduction Act of 2005, budgetaryMechanism, reconciliation bill]
-
A.
budgetaryNature
Indicates that something pertains to, characterizes, or affects the allocation, management, or structure of a budget.
-
B.
budgetingSystem
Indicates a system or process used to plan, allocate, track, and control financial resources or budgets.
-
C.
budgetaryEffect
Indicates the financial impact or change in budget resulting from a particular action, decision, or policy.
-
D.
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.
-
E.
budgetAccount
Indicates a relationship where an entity is associated with, charged to, or managed under a specific budget account for financial tracking or allocation.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d9511989ac8190ade98f52f66f7cd4 |
completed | April 10, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:55 p.m.