Triple
T17895716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Import Duties Act 1932 |
E447426
|
entity |
| Predicate | generalTariffRate |
P85700
|
FINISHED |
| Object | 10 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: 10 percent | Statement: [Import Duties Act 1932, generalTariffRate, 10 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalTariffRate Context triple: [Import Duties Act 1932, generalTariffRate, 10 percent]
-
A.
averageTariffRateOnDutiableImports
Indicates the average tariff rate applied specifically to imported goods that are subject to customs duties.
-
B.
tariffStructure
Indicates the specific schedule, rates, and rules that define how tariffs or fees are applied within a pricing or taxation system.
-
C.
taxRate
chosen
Indicates the percentage or proportion of a taxable amount that is imposed as tax in a given context.
-
D.
previousAverageTariffRateOnDutiableImports
Indicates the average tariff rate that was applied to dutiable imports during a prior time period.
-
E.
usesTariffSystem
Indicates that one entity applies or operates under a tariff-based system for pricing, taxation, or fees in its interactions or transactions.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7eb4f48190951e26975b57873b |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.