Triple

T22245504
Position Surface form Disambiguated ID Type / Status
Subject Plan K E549829 entity
Predicate typeOfCostSharing P116450 FINISHED
Object coinsurance 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: coinsurance | Statement: [Plan K, typeOfCostSharing, coinsurance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfCostSharing
Context triple: [Plan K, typeOfCostSharing, coinsurance]
  • A. costSharing chosen
    Indicates how the financial burden of a cost is divided or shared among multiple parties.
  • B. coversCosts
    Indicates that one party assumes responsibility for paying or reimbursing the expenses incurred by another party.
  • C. costToUser
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • D. chargeType
    Indicates the category or nature of a charge applied in a transaction or interaction between entities (e.g., fee type, billing classification, or legal charge type).
  • E. hasCost
    Indicates that one entity requires a specified amount of resources (such as money, time, or effort) to be obtained, used, or maintained by 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.