Triple
T5715729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underwood Tariff Act |
E126017
|
entity |
| Predicate | effectOnTariffs |
P55854
|
FINISHED |
| Object | lowered tariff 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: lowered tariff rates | Statement: [Underwood Tariff Act, effectOnTariffs, lowered tariff rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTariffs Context triple: [Underwood Tariff Act, effectOnTariffs, lowered tariff rates]
-
A.
effectOnTaxes
Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
-
B.
averageTariffRateOnDutiableImports
chosen
Indicates the average tariff rate applied specifically to imported goods that are subject to customs duties.
-
C.
effectOnUnitedStates
Indicates the impact, influence, or consequences that something has on the United States.
-
D.
consequenceForExporters
Indicates that a situation, event, or policy results in specific outcomes or impacts for entities engaged in exporting.
-
E.
affectedInterstateCommerce
Indicates that an action, event, or transaction had an impact on, or was connected to, trade or economic activity crossing state or national boundaries.
- 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.