Triple
T35624386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 97-34 |
E1029409
|
entity |
| Predicate | effectOnIndividualIncomeTax |
P39307
|
FINISHED |
| Object | reduced marginal tax rates |
—
|
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: reduced marginal tax rates | Statement: [97-34, effectOnIndividualIncomeTax, reduced marginal tax rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnIndividualIncomeTax Context triple: [97-34, effectOnIndividualIncomeTax, reduced marginal tax rates]
-
A.
effectOnTaxes
chosen
Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
-
B.
temporaryIndividualTaxProvisions
Indicates that the relationship or action concerns tax rules or benefits for individuals that are in effect only for a limited, non-permanent period.
-
C.
taxCharacteristic
Indicates the specific tax-related property, status, or classification that applies to an entity or transaction.
-
D.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
E.
taxFunction
Indicates the rule or calculation method used to determine the amount of tax applied to a given input (such as income, price, or transaction).
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4:05 p.m.