Triple

T2897970
Position Surface form Disambiguated ID Type / Status
Subject Federal Unemployment Tax Act E63986 entity
Predicate subjectToChangeBy P1121 FINISHED
Object subsequent federal legislation 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: subsequent federal legislation | Statement: [Federal Unemployment Tax Act, subjectToChangeBy, subsequent federal legislation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectToChangeBy
Context triple: [Federal Unemployment Tax Act, subjectToChangeBy, subsequent federal legislation]
  • A. amendedBy chosen
    Indicates that one entity has been modified, revised, or updated as a result of changes made by another entity.
  • B. decorChangedBy
    Indicates that a change in decor or visual appearance was caused or brought about by a specific entity or action.
  • C. mayBeModifiedBy
    Indicates that an entity has the potential to be altered, changed, or updated by another entity or process.
  • D. changeReason
    Indicates the reason or justification for a modification or change made to an entity or its state.
  • E. changesEvery
    Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe08fe3248190a6bb7de2a2c317b1 completed March 7, 2026, 8:23 a.m.
PD Predicate disambiguation batch_69abdd17bcdc8190aa47274a50ba4ad4 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:08 p.m.