Triple
T21915665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underwood–Simmons Act |
E541176
|
entity |
| Predicate | averageTariffRateAfter |
P55854
|
FINISHED |
| Object | about 25 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: about 25 percent | Statement: [Underwood–Simmons Act, averageTariffRateAfter, about 25 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageTariffRateAfter Context triple: [Underwood–Simmons Act, averageTariffRateAfter, about 25 percent]
-
A.
previousAverageTariffRateOnDutiableImports
Indicates the average tariff rate that was applied to dutiable imports during a prior time period.
-
B.
effectOnAverageTariff
Indicates the impact that one factor, event, or action has on the level or change of an average tariff.
-
C.
averageTariffRateOnDutiableImports
chosen
Indicates the average tariff rate applied specifically to imported goods that are subject to customs duties.
-
D.
approximateAverageTariffCut
Indicates the degree to which average tariff rates are reduced, typically expressed as an estimated or approximate percentage cut in tariffs.
-
E.
typicalRate
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123378140819090a30453c1db7f38 |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:42 p.m.