Triple
T11158636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manufacturers’ Sales Tax (Canada) |
E263976
|
entity |
| Predicate | taxDesign |
P25448
|
FINISHED |
| Object | levied on manufacturers’ sales value |
—
|
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: levied on manufacturers’ sales value | Statement: [Manufacturers’ Sales Tax (Canada), taxDesign, levied on manufacturers’ sales value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxDesign Context triple: [Manufacturers’ Sales Tax (Canada), taxDesign, levied on manufacturers’ sales value]
-
A.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
taxOn
chosen
Indicates that one entity imposes or applies a tax on another entity or item.
-
C.
taxFunction
Indicates the rule or calculation method used to determine the amount of tax applied to a given input (such as income, price, or transaction).
-
D.
taxRate
Indicates the percentage or proportion of a taxable amount that is imposed as tax in a given context.
-
E.
taxationMethod
Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.