Triple
T1153370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress of the Union |
E23726
|
entity |
| Predicate | budgetYear |
P8230
|
FINISHED |
| Object | annual federal budget |
—
|
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: annual federal budget | Statement: [Congress of the Union, budgetYear, annual federal budget]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: budgetYear Context triple: [Congress of the Union, budgetYear, annual federal budget]
-
A.
budgetFiscalYear
chosen
Indicates the fiscal year to which a particular budget or budgeting activity applies.
-
B.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
C.
year
Indicates the specific calendar year associated with an entity, event, or fact.
-
D.
budget
Indicates that an entity allocates, plans, or assigns specific financial resources for another entity, activity, or time period.
-
E.
budgetLevel
Indicates the relative amount of financial resources allocated or available for something, typically categorized by level (e.g., low, medium, high).
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8e9cb481908a528a828b21d497 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.