Triple
T28706181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goods and Services Tax (Australia) |
E729702
|
entity |
| Predicate | standardRateSince |
P81487
|
FINISHED |
| Object | 2000-07-01 |
—
|
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: 2000-07-01 | Statement: [Goods and Services Tax (Australia), standardRateSince, 2000-07-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardRateSince Context triple: [Goods and Services Tax (Australia), standardRateSince, 2000-07-01]
-
A.
typicalRate
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
-
B.
baseRate
chosen
Indicates the fundamental or standard rate at which something occurs or is charged, serving as a baseline before adjustments or modifiers are applied.
-
C.
originalRate
Indicates the initial or base rate associated with something before any changes, adjustments, or discounts are applied.
-
D.
standardCommissionRateBeforeProgram
Indicates the commission rate that applied under standard terms before a specific program or special arrangement took effect.
-
E.
exportRate
Indicates the rate or proportion at which goods, services, or resources are sent out from one entity or region to others.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 5:45 a.m.