Triple
T13359029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tax Equity and Fiscal Responsibility Act of 1982 |
E318773
|
entity |
| Predicate | estimatedRevenueEffect |
P68586
|
FINISHED |
| Object | major federal revenue increase |
—
|
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: major federal revenue increase | Statement: [Tax Equity and Fiscal Responsibility Act of 1982, estimatedRevenueEffect, major federal revenue increase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedRevenueEffect Context triple: [Tax Equity and Fiscal Responsibility Act of 1982, estimatedRevenueEffect, major federal revenue increase]
-
A.
revenue
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
B.
revenueLevel
Indicates the relative amount or tier of revenue associated with an entity or activity.
-
C.
revenueUse
Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
-
D.
expectedBenefit
Indicates the benefit or positive outcome that is anticipated to result from a particular action, decision, or relationship between entities.
-
E.
predictedEffect
chosen
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.