Triple

T22245543
Position Surface form Disambiguated ID Type / Status
Subject Plan M E549830 entity
Predicate benefitDesignGoal P147531 FINISHED
Object trade lower premiums for higher cost sharing on Part A deductible 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: trade lower premiums for higher cost sharing on Part A deductible | Statement: [Plan M, benefitDesignGoal, trade lower premiums for higher cost sharing on Part A deductible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitDesignGoal
Context triple: [Plan M, benefitDesignGoal, trade lower premiums for higher cost sharing on Part A deductible]
  • A. appliesToDesignGoal
    Indicates that something (such as a method, rule, or constraint) is relevant or intended to be used for achieving a particular design goal.
  • B. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • C. benefitCharacteristic
    Indicates that one entity possesses a quality or feature that provides an advantage, usefulness, or positive effect to another entity.
  • D. benefice
    Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
  • E. benefitsAre
    Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13217c9f88190aa2ce7d644b57739 completed April 28, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69e72fe1e0cc8190bd13cff2a0846225 completed April 21, 2026, 8:05 a.m.
PDg Predicate description generation batch_69e7342ce08c8190bc0a7085f4a952e7 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 8:38 p.m.