Triple

T5430422
Position Surface form Disambiguated ID Type / Status
Subject Trump administration E121470 entity
Predicate healthPolicyEvent P53903 FINISHED
Object attempted repeal of the Affordable Care Act 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: attempted repeal of the Affordable Care Act | Statement: [Trump administration, healthPolicyEvent, attempted repeal of the Affordable Care Act]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: healthPolicyEvent
Context triple: [Trump administration, healthPolicyEvent, attempted repeal of the Affordable Care Act]
  • A. medicalCoverageAfter
    Indicates that one entity’s medical insurance coverage begins or applies after the time, event, or coverage period associated with another entity.
  • B. benefitAdministered
    Indicates that a benefit (such as aid, service, or entitlement) has been formally provided or delivered to an eligible recipient by an administering party.
  • C. rehabilitationEvent
    Indicates an event in which an entity undergoes a process of rehabilitation, such as recovery, restoration, or reintegration following damage, illness, or misconduct.
  • D. healthSystem
    Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
  • E. effectOnHealthCare chosen
    Indicates the impact or influence that something has on the quality, accessibility, cost, or delivery of health care services.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8911a7348190ad9378a248190f07 completed March 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69bd846b8bdc81909dcdc2a3084226f2 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:06 p.m.