Triple
T14828803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of New York government budget |
E348642
|
entity |
| Predicate | majorSpendingFunction |
P62936
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [State of New York government budget, majorSpendingFunction, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSpendingFunction Context triple: [State of New York government budget, majorSpendingFunction, education]
-
A.
mainExpenditureCategory
chosen
Indicates the primary type or classification of spending to which a particular expenditure mainly belongs.
-
B.
typeOfSpendingAffected
Indicates that a particular kind or category of spending is influenced, changed, or impacted by another factor or event.
-
C.
budgetarySector
Indicates that an entity belongs to, is funded through, or is managed within a particular government or organizational budgetary sector.
-
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.
monetaryFunction
Indicates a relationship where something serves a financial role, such as handling, managing, or affecting money or economic value.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0737d4c8190a49bf6b013da208c |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.