Triple

T22987979
Position Surface form Disambiguated ID Type / Status
Subject HMO E571965 entity
Predicate hasCostStructure P17476 FINISHED
Object fixed monthly premium 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: fixed monthly premium | Statement: [HMO, hasCostStructure, fixed monthly premium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCostStructure
Context triple: [HMO, hasCostStructure, fixed monthly premium]
  • A. 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.
  • B. costModel chosen
    Indicates the pricing or cost-structure relationship applied to an entity, defining how its costs are calculated or charged.
  • C. economicCost
    Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
  • D. costsProvision
    Indicates that providing a particular good, service, or resource requires incurring a specified cost.
  • E. usesBillingModel
    Indicates that one entity applies or operates under a particular billing model for charging or pricing purposes.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829b4ea88190bc1a01183df7a1bb completed April 29, 2026, 4:01 a.m.
PD Predicate disambiguation batch_69ef3b974e7c8190b8be11dbb4518693 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:49 p.m.