Triple

T22245534
Position Surface form Disambiguated ID Type / Status
Subject Plan M E549830 entity
Predicate benefitStandardization P121725 FINISHED
Object benefits are identical across insurers offering Plan M 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: benefits are identical across insurers offering Plan M | Statement: [Plan M, benefitStandardization, benefits are identical across insurers offering Plan M]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitStandardization
Context triple: [Plan M, benefitStandardization, benefits are identical across insurers offering Plan M]
  • A. regulatesOrStandardizes
    Indicates that one entity establishes, enforces, or defines rules, norms, or standards that govern the behavior, quality, or operation of another entity.
  • B. standardizationGoal
    Indicates the intended level, outcome, or target state to be achieved through a process of standardization.
  • C. standardizationPurpose
    Indicates the reason or intended goal for which a standardization activity or process is carried out.
  • D. componentStandardization chosen
    Indicates that one entity is standardized, normalized, or made uniform according to the specifications, rules, or format defined by another entity.
  • E. benefitCharacteristic
    Indicates that one entity possesses a quality or feature that provides an advantage, usefulness, or positive effect to another entity.
  • 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_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.
Created at: April 16, 2026, 8:38 p.m.