Triple
T29172566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Measure M transportation sales tax program |
E739510
|
entity |
| Predicate | hasSalesTaxRate |
P85700
|
FINISHED |
| Object | 0.5 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: 0.5 percent | Statement: [Measure M transportation sales tax program, hasSalesTaxRate, 0.5 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSalesTaxRate Context triple: [Measure M transportation sales tax program, hasSalesTaxRate, 0.5 percent]
-
A.
isTaxable
Indicates that the subject is legally subject to taxation under the applicable tax rules or regulations.
-
B.
taxRate
chosen
Indicates the percentage or proportion of a taxable amount that is imposed as tax in a given context.
-
C.
hasTaxInstrument
Indicates that an entity is associated with or utilizes a specific tax-related instrument (such as a tax form, certificate, or mechanism) for taxation purposes.
-
D.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
-
E.
hasMunicipalTaxRate
Indicates that a municipality imposes a specific tax rate within its jurisdiction.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 11:53 a.m.