Triple

T3822138
Position Surface form Disambiguated ID Type / Status
Subject Tax Cuts and Jobs Act of 2017 E88596 entity
Predicate corporateTaxRateBefore P37502 FINISHED
Object 35 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: 35 percent | Statement: [Tax Cuts and Jobs Act of 2017, corporateTaxRateBefore, 35 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: corporateTaxRateBefore
Context triple: [Tax Cuts and Jobs Act of 2017, corporateTaxRateBefore, 35 percent]
  • A. topCorporateRateBeforeReform chosen
    Indicates the highest corporate tax rate that was in effect prior to a specified tax reform or policy change.
  • B. topCorporateRateAfterReform
    Indicates the highest corporate tax rate that applies following the implementation of a specified tax reform.
  • C. taxationMethod
    Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
  • D. inflationRateBefore
    Indicates that one inflation rate occurred earlier in time than another inflation rate being considered.
  • E. taxType
    Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
  • 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_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.
Created at: March 9, 2026, 3:17 p.m.