Triple
T5715732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underwood Tariff Act |
E126017
|
entity |
| Predicate | averageTariffAfter |
P55854
|
FINISHED |
| Object | approximately 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: approximately 25 percent | Statement: [Underwood Tariff Act, averageTariffAfter, approximately 25 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageTariffAfter Context triple: [Underwood Tariff Act, averageTariffAfter, approximately 25 percent]
-
A.
previousAverageTariffRateOnDutiableImports
Indicates the average tariff rate that was applied to dutiable imports during a prior time period.
-
B.
approximateAverageTariffCut
Indicates the degree to which average tariff rates are reduced, typically expressed as an estimated or approximate percentage cut in tariffs.
-
C.
averageTariffRateOnDutiableImports
chosen
Indicates the average tariff rate applied specifically to imported goods that are subject to customs duties.
-
D.
topCorporateRateBeforeReform
Indicates the highest corporate tax rate that was in effect prior to a specified tax reform or policy change.
-
E.
inflationRateAfter
Indicates the rate of inflation that applies following a specified time, event, or reference point.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.