Triple

T22336398
Position Surface form Disambiguated ID Type / Status
Subject Plan L E552156 entity
Predicate standardizedBenefitsAre P101952 FINISHED
Object the same across all insurers offering Plan L in a given state 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: the same across all insurers offering Plan L in a given state | Statement: [Plan L, standardizedBenefitsAre, the same across all insurers offering Plan L in a given state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardizedBenefitsAre
Context triple: [Plan L, standardizedBenefitsAre, the same across all insurers offering Plan L in a given state]
  • A. benefitsAre
    Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
  • B. benefitsLevel
    Indicates the degree or extent to which one entity gains advantages, support, or positive outcomes from another entity or action.
  • C. benefitProtection
    Indicates that one entity provides protective advantages or safeguards that benefit another entity.
  • D. benefitAppliesTo chosen
    Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
  • E. benefitStructure
    Indicates a relationship where one entity defines, organizes, or governs the benefits (such as advantages, compensations, or perks) provided to or associated with 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577f2f208190ac6270ac4581fa15 completed April 29, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e7300c20088190a59e5bf9e70384f3 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:43 p.m.