Triple
T29651497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennedy tax cut |
E750144
|
entity |
| Predicate | reducedCorporateTaxRateFrom |
P168161
|
FINISHED |
| Object | 52% |
—
|
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: 52% | Statement: [Kennedy tax cut, reducedCorporateTaxRateFrom, 52%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedCorporateTaxRateFrom Context triple: [Kennedy tax cut, reducedCorporateTaxRateFrom, 52%]
-
A.
reducedTax
Indicates that an entity is subject to a lower-than-standard tax rate or tax burden.
-
B.
corporateTaxRate
Indicates the percentage of a corporation’s taxable income that is owed as tax under the applicable tax regime.
-
C.
reducedDutyRateOn
Indicates a relationship where a reduced customs or tax duty rate is applied to a specified item or transaction.
-
D.
reducedTopMarginalRateTo
Indicates that an entity has lowered the highest marginal rate (such as a top tax or interest rate) to a specified new level.
-
E.
reducedTopMarginalRateFrom
Indicates that an entity lowered the highest marginal rate (such as a top tax or interest rate) from a specified prior level.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 6:52 p.m.