Triple

T1140947
Position Surface form Disambiguated ID Type / Status
Subject Medicare Part B E23447 entity
Predicate lateEnrollmentPenalty P1841 FINISHED
Object applies in many cases if not enrolled when first eligible 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: applies in many cases if not enrolled when first eligible | Statement: [Medicare Part B, lateEnrollmentPenalty, applies in many cases if not enrolled when first eligible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lateEnrollmentPenalty
Context triple: [Medicare Part B, lateEnrollmentPenalty, applies in many cases if not enrolled when first eligible]
  • A. penaltyProvision chosen
    Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
  • B. endedDueTo
    Indicates that an event, process, or state came to a conclusion specifically because of a particular cause or condition.
  • C. gradingPolicy
    Indicates the rules or criteria that determine how performance or work is evaluated and assigned grades.
  • D. hasStudentEnrollment
    Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
  • E. hasPunishment
    Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bde18d208190848c189b2b8d585f completed March 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69a4bb4b52d48190bec2e7ad1cc8efc0 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.