Triple
T11158628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manufacturers’ Sales Tax (Canada) |
E263976
|
entity |
| Predicate | taxIncidence |
P39307
|
FINISHED |
| Object | business sector |
—
|
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: business sector | Statement: [Manufacturers’ Sales Tax (Canada), taxIncidence, business sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxIncidence Context triple: [Manufacturers’ Sales Tax (Canada), taxIncidence, business sector]
-
A.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
-
B.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
C.
effectOnTaxes
chosen
Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
-
D.
taxRate
Indicates the percentage or proportion of a taxable amount that is imposed as tax in a given context.
-
E.
positionOnTaxes
Indicates a stance or viewpoint an entity holds regarding tax policies or taxation issues.
- 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.