Triple

T1064699
Position Surface form Disambiguated ID Type / Status
Subject Medicaid E22982 entity
Predicate payerType P23023 FINISHED
Object largest single source of long-term care financing in the United States 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: largest single source of long-term care financing in the United States | Statement: [Medicaid, payerType, largest single source of long-term care financing in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: payerType
Context triple: [Medicaid, payerType, largest single source of long-term care financing in the United States]
  • A. paidBy
    Indicates that a payment or financial obligation is made or settled by the specified entity.
  • B. beneficiaryType
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • C. paymentNetworkRole
    Indicates the specific function or responsibility an entity has within a payment network (such as issuer, acquirer, or processor).
  • D. customerType
    Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
  • E. issuerType
    Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b90f91248190ace1534a51b82bdd completed March 1, 2026, 10:09 p.m.
PD Predicate disambiguation batch_69a4b7359eb881909c868a558861cc18 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7da38888190a118ef20ce4ae9aa completed March 1, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:42 p.m.