Triple
T3822148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tax Cuts and Jobs Act of 2017 |
E88596
|
entity |
| Predicate | stateAndLocalTaxDeductionCap |
P52497
|
FINISHED |
| Object | 10000 USD |
—
|
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: 10000 USD | Statement: [Tax Cuts and Jobs Act of 2017, stateAndLocalTaxDeductionCap, 10000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateAndLocalTaxDeductionCap Context triple: [Tax Cuts and Jobs Act of 2017, stateAndLocalTaxDeductionCap, 10000 USD]
-
A.
statutoryLimitPerIncidentUSD
Indicates the maximum monetary amount, in U.S. dollars, that is legally allowed to be claimed or paid for a single incident under a specific statute or regulation.
-
B.
fareCapping
Indicates a limit on the total amount a rider can be charged for fares over a set period, after which additional trips are free or discounted.
-
C.
jurisdictionLimit
Indicates the maximum scope or boundary within which an authority, organization, or rule is legally empowered to operate or exercise control.
-
D.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
E.
loanLimitType
Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
- 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.