Triple

T21694073
Position Surface form Disambiguated ID Type / Status
Subject Centre for eHealth E535451 entity
Predicate field P3 FINISHED
Object eHealth — NE NERFINISHED

How this triple was built (3 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: eHealth | Statement: [Centre for eHealth, field, eHealth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: eHealth
Context triple: [Centre for eHealth, field, eHealth]
  • A. Centre for eHealth
    The Centre for eHealth is a specialized unit within Norway’s public health system that focuses on developing, implementing, and evaluating digital health solutions and services.
  • B. Working Parties on e-health and accessibility
    The Working Parties on e-health and accessibility are specialized expert groups within ITU-T Study Group 16 that develop international standards and guidelines to improve digital health services and ensure ICT accessibility for persons with disabilities and diverse user needs.
  • C. e-Hospital
    e-Hospital is an online hospital management and patient-care platform under the Digital India initiative that enables digital registration, appointment scheduling, and access to medical services in government hospitals.
  • D. HelthWyzer
    HelthWyzer is a powerful biotech and pharmaceutical corporation in Margaret Atwood’s MaddAddam trilogy, known for its unethical genetic engineering and role in triggering a global pandemic.
  • E. Health app
    The Health app is Apple’s central hub for tracking and managing personal health and fitness data from the iPhone, Apple Watch, and compatible third-party apps and devices.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: eHealth
Target entity description: eHealth is a field focused on using digital technologies and electronic communication tools to deliver, manage, and improve healthcare services and health information.
  • A. Centre for eHealth
    The Centre for eHealth is a specialized unit within Norway’s public health system that focuses on developing, implementing, and evaluating digital health solutions and services.
  • B. Working Parties on e-health and accessibility
    The Working Parties on e-health and accessibility are specialized expert groups within ITU-T Study Group 16 that develop international standards and guidelines to improve digital health services and ensure ICT accessibility for persons with disabilities and diverse user needs.
  • C. e-Hospital
    e-Hospital is an online hospital management and patient-care platform under the Digital India initiative that enables digital registration, appointment scheduling, and access to medical services in government hospitals.
  • D. HelthWyzer
    HelthWyzer is a powerful biotech and pharmaceutical corporation in Margaret Atwood’s MaddAddam trilogy, known for its unethical genetic engineering and role in triggering a global pandemic.
  • E. Health app
    The Health app is Apple’s central hub for tracking and managing personal health and fitness data from the iPhone, Apple Watch, and compatible third-party apps and devices.
  • F. None of above. chosen

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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b79336081909000ceaa86f6aed3 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.