Triple

T18844623
Position Surface form Disambiguated ID Type / Status
Subject Digital India E460884 entity
Predicate includesProgramme P6928 FINISHED
Object e-Hospital 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: e-Hospital | Statement: [Digital India, includesProgramme, e-Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: e-Hospital
Context triple: [Digital India, includesProgramme, e-Hospital]
  • A. Centre for Collaboration with Hospitals
    The Centre for Collaboration with Hospitals is a unit within the Norwegian Institute of Public Health that focuses on strengthening research, data sharing, and public health collaboration with hospitals across Norway.
  • B. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • C. HospitalRun
    HospitalRun is an open-source, offline-first hospital management software project designed to improve healthcare record-keeping in low-resource settings.
  • D. CIMEQ Hospital
    CIMEQ Hospital is a major Cuban medical and research center in Havana known for providing advanced healthcare services, often to government officials and specialized patients.
  • E. 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.
  • 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: e-Hospital
Target entity description: 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.
  • A. Centre for Collaboration with Hospitals
    The Centre for Collaboration with Hospitals is a unit within the Norwegian Institute of Public Health that focuses on strengthening research, data sharing, and public health collaboration with hospitals across Norway.
  • B. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • C. HospitalRun
    HospitalRun is an open-source, offline-first hospital management software project designed to improve healthcare record-keeping in low-resource settings.
  • D. CIMEQ Hospital
    CIMEQ Hospital is a major Cuban medical and research center in Havana known for providing advanced healthcare services, often to government officials and specialized patients.
  • E. 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.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ed944c81908592f0c34e5727a0 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.