Triple
T4397686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McKinley Tariff |
E99531
|
entity |
| Predicate | averageTariffRateOnDutiableImports |
P55854
|
FINISHED |
| Object | approximately 48.4 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 48.4 percent | Statement: [McKinley Tariff, averageTariffRateOnDutiableImports, approximately 48.4 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageTariffRateOnDutiableImports Context triple: [McKinley Tariff, averageTariffRateOnDutiableImports, approximately 48.4 percent]
-
A.
approximateAverageTariffCut
Indicates the degree to which average tariff rates are reduced, typically expressed as an estimated or approximate percentage cut in tariffs.
-
B.
importedCommodity
Indicates that a commodity has been brought into a country or region from abroad through import activities.
-
C.
reducedDutyRateOn
Indicates a relationship where a reduced customs or tax duty rate is applied to a specified item or transaction.
-
D.
typeOfTariffPreference
Indicates the specific category or kind of tariff preference applied within a trade or customs context.
-
E.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
- F. None of above. chosen
Provenance (4 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352adce588190b9e6ed53458aa1e1 |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:20 p.m.