Triple
T9008308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Measure R sales tax |
E215400
|
entity |
| Predicate | taxRate |
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 R sales tax, taxRate, 0.5 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxRate Context triple: [Measure R sales tax, taxRate, 0.5 percent]
-
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.
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.
corporateTaxRate
Indicates the percentage of a corporation’s taxable income that is owed as tax under the applicable tax regime.
-
E.
taxationMethod
Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
- F. None of above. chosen
Provenance (4 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bed8588190afc9cbca12b75a3b |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:06 p.m.