Triple

T5837725
Position Surface form Disambiguated ID Type / Status
Subject Viken og Oslo health region E129512 entity
Predicate healthcareLevel P58393 FINISHED
Object specialized healthcare 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: specialized healthcare | Statement: [Viken og Oslo health region, healthcareLevel, specialized healthcare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: healthcareLevel
Context triple: [Viken og Oslo health region, healthcareLevel, specialized healthcare]
  • A. healthSystemLevel chosen
    Indicates the level or tier within a health system at which a given action, service, or relationship occurs (e.g., local, regional, national).
  • B. healthcareType
    Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
  • C. healthSystem
    Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
  • D. positionOnHealthCare
    Indicates a person or entity’s stance, opinion, or policy preference regarding health care systems, services, or reforms.
  • E. hasTertiaryCareCapabilities
    Indicates that an entity (such as a healthcare facility) possesses the advanced resources, specialties, and infrastructure required to provide tertiary-level medical care.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c044ab0a048190b84be40fb13c0f50 completed March 22, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69c03341e5888190a5f219b6f92cb161 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:54 p.m.