Triple
T36865904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goods and Services Tax (Canada) |
E911081
|
entity |
| Predicate | previousStandardRate |
P129461
|
FINISHED |
| Object | 7% |
—
|
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: 7% | Statement: [Goods and Services Tax (Canada), previousStandardRate, 7%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousStandardRate Context triple: [Goods and Services Tax (Canada), previousStandardRate, 7%]
-
A.
previousStandardAmount
Indicates the amount or value that was in effect under the immediately preceding standard or baseline before the current one.
-
B.
typicalRate
chosen
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
-
C.
originalRate
Indicates the initial or base rate associated with something before any changes, adjustments, or discounts are applied.
-
D.
baseRate
Indicates the fundamental or standard rate at which something occurs or is charged, serving as a baseline before adjustments or modifiers are applied.
-
E.
economyRate
Indicates the rate or level of economic performance, activity, or growth associated with the related entities.
- 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: May 3, 2026, 4:13 p.m.