Triple
T3822140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tax Cuts and Jobs Act of 2017 |
E88596
|
entity |
| Predicate | changesCorporateTaxSystem |
P52492
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tax Cuts and Jobs Act of 2017, changesCorporateTaxSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changesCorporateTaxSystem Context triple: [Tax Cuts and Jobs Act of 2017, changesCorporateTaxSystem, yes]
-
A.
taxRegime
Indicates the system or structure of taxation that governs how taxes are assessed, collected, and applied within a particular context or jurisdiction.
-
B.
topCorporateRateAfterReform
Indicates the highest corporate tax rate that applies following the implementation of a specified tax reform.
-
C.
canTransferRegisteredOfficeTo
Indicates that one entity has the legal ability or authority to move its officially registered office or headquarters from one jurisdiction or location to another.
-
D.
exchangeRegime
Indicates the type of currency exchange system or policy framework governing how a country’s currency is valued and traded relative to other currencies.
-
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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef18748648190b85e62f7796ff4b4 |
completed | March 9, 2026, 4:12 p.m. |
Created at: March 9, 2026, 3:17 p.m.