Triple

T22245547
Position Surface form Disambiguated ID Type / Status
Subject Plan M E549830 entity
Predicate comparedWith P278 FINISHED
Object Plan F — NE NERFINISHED

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: Plan F | Statement: [Plan M, comparedWith, Plan F]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plan F
Context triple: [Plan M, comparedWith, Plan F]
  • A. Plan F chosen
    Plan F is a comprehensive Medicare Supplement (Medigap) insurance plan that covers nearly all out-of-pocket costs not paid by Original Medicare, including deductibles, coinsurance, and copayments.
  • B. Plan C
    Plan C is a standardized Medicare Supplement (Medigap) insurance plan that helps cover many out-of-pocket costs not paid by Original Medicare, including some deductibles and coinsurance.
  • C. Plan C
    Plan C was the successful drilling and rescue strategy used to extract the trapped miners during the 2010 Copiapó mining accident in Chile.
  • D. Plan G
    Plan G is a popular Medicare Supplement (Medigap) insurance plan that helps cover most out-of-pocket costs not paid by Original Medicare, such as deductibles, copayments, and coinsurance.
  • E. Plan L
    Plan L is a standardized Medicare Supplement (Medigap) insurance plan that offers partial coverage of certain out-of-pocket costs in exchange for lower premiums and an annual out-of-pocket limit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 8:38 p.m.