Triple
T36292354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jobs and Growth Tax Relief Reconciliation Act of 2003 |
E893263
|
entity |
| Predicate | budgetImpact |
P185105
|
FINISHED |
| Object | increased federal budget deficit |
—
|
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: increased federal budget deficit | Statement: [Jobs and Growth Tax Relief Reconciliation Act of 2003, budgetImpact, increased federal budget deficit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: budgetImpact Context triple: [Jobs and Growth Tax Relief Reconciliation Act of 2003, budgetImpact, increased federal budget deficit]
-
A.
economicCost
Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
-
B.
costImpact
Indicates the effect that one entity or action has on the cost associated with another entity or process.
-
C.
estimatedCost
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
D.
budgetType
Indicates the classification or category of a budget associated with an entity or financial activity.
-
E.
programCost
Indicates the monetary or resource expenditure required to implement, run, or participate in a particular program.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.