Triple
T6433069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revenue Act of 1918 |
E129823
|
entity |
| Predicate | topMarginalIndividualIncomeTaxRate |
P37501
|
FINISHED |
| Object | 77 percent |
—
|
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: 77 percent | Statement: [Revenue Act of 1918, topMarginalIndividualIncomeTaxRate, 77 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topMarginalIndividualIncomeTaxRate Context triple: [Revenue Act of 1918, topMarginalIndividualIncomeTaxRate, 77 percent]
-
A.
reducedTopMarginalRateFrom
Indicates that an entity lowered the highest marginal rate (such as a top tax or interest rate) from a specified prior level.
-
B.
reducedTopMarginalRateTo
Indicates that an entity has lowered the highest marginal rate (such as a top tax or interest rate) to a specified new level.
-
C.
topIndividualRateAfterReform
chosen
Indicates the highest individual rate that applies following the implementation of a reform.
-
D.
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).
-
E.
positionOnTaxes
Indicates a stance or viewpoint an entity holds regarding tax policies or taxation issues.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693de6ac81909f3e330363a52102 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.