Triple
T1717162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reagan administration |
E37314
|
entity |
| Predicate | fiscalOutcome |
P24219
|
FINISHED |
| Object | large federal budget deficits |
—
|
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: large federal budget deficits | Statement: [Reagan administration, fiscalOutcome, large federal budget deficits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiscalOutcome Context triple: [Reagan administration, fiscalOutcome, large federal budget deficits]
-
A.
fiscalIssue
chosen
Indicates a relationship where an entity is involved in, affected by, or associated with a financial or budgetary problem, concern, or matter.
-
B.
financeMinister
Indicates that one entity serves as the finance minister (or equivalent chief financial/government budget official) of another entity, typically a country or jurisdiction.
-
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.
budgetFiscalYear
Indicates the fiscal year to which a particular budget or budgeting activity applies.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.