Triple

T3822149
Position Surface form Disambiguated ID Type / Status
Subject Tax Cuts and Jobs Act of 2017 E88596 entity
Predicate eliminatesPersonalExemptions P52498 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, eliminatesPersonalExemptions, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eliminatesPersonalExemptions
Context triple: [Tax Cuts and Jobs Act of 2017, eliminatesPersonalExemptions, yes]
  • A. exemptionType
    Indicates the specific category or kind of exemption that applies in a given context.
  • B. exemptedFrom
    Indicates that an entity is not subject to, or is formally released from, a rule, obligation, requirement, or liability that would otherwise apply.
  • C. excludes
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • D. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • E. exemptedJurisdiction
    Indicates that one jurisdiction is officially excluded from the application, scope, or requirements that apply to other jurisdictions.
  • 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.