Triple

T8755428
Position Surface form Disambiguated ID Type / Status
Subject PIX E208061 entity
Predicate abbreviationFor P43 FINISHED
Object Patient Identifier Cross-referencing
Patient Identifier Cross-referencing is a healthcare interoperability mechanism that links and reconciles different patient identifiers across multiple clinical systems to ensure accurate patient identity matching and data integration.
E738001 NE FINISHED

How this triple was built (4 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: Patient Identifier Cross-referencing | Statement: [PIX, abbreviationFor, Patient Identifier Cross-referencing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patient Identifier Cross-referencing
Context triple: [PIX, abbreviationFor, Patient Identifier Cross-referencing]
  • A. Cross-Community Patient Discovery
    Cross-Community Patient Discovery is an IHE profile that enables healthcare organizations in different communities or domains to locate and match patient records across disparate health information systems.
  • B. HIPAA Unique Identifiers standards authority
    The HIPAA Unique Identifiers standards authority is the regulatory framework that defines and governs standardized identification codes for healthcare providers, health plans, employers, and related entities in the U.S. to support secure and efficient electronic health transactions.
  • C. Next Generation Identification
    Next Generation Identification is the FBI’s advanced biometric identification system that expands beyond fingerprints to include modalities like iris, facial recognition, and palm prints for more accurate and comprehensive criminal and civil identification.
  • D. Medical Register
    The Medical Register is an official list of qualified medical practitioners in the United Kingdom, maintained to regulate and standardize the medical profession.
  • E. Centre for Collaboration with Registry Networks
    The Centre for Collaboration with Registry Networks is a specialized unit within Norway’s public health system that coordinates and advances the use of health registries for research, surveillance, and policy development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Patient Identifier Cross-referencing
Triple: [PIX, abbreviationFor, Patient Identifier Cross-referencing]
Generated description
Patient Identifier Cross-referencing is a healthcare interoperability mechanism that links and reconciles different patient identifiers across multiple clinical systems to ensure accurate patient identity matching and data integration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patient Identifier Cross-referencing
Target entity description: Patient Identifier Cross-referencing is a healthcare interoperability mechanism that links and reconciles different patient identifiers across multiple clinical systems to ensure accurate patient identity matching and data integration.
  • A. Cross-Community Patient Discovery chosen
    Cross-Community Patient Discovery is an IHE profile that enables healthcare organizations in different communities or domains to locate and match patient records across disparate health information systems.
  • B. HIPAA Unique Identifiers standards authority
    The HIPAA Unique Identifiers standards authority is the regulatory framework that defines and governs standardized identification codes for healthcare providers, health plans, employers, and related entities in the U.S. to support secure and efficient electronic health transactions.
  • C. Next Generation Identification
    Next Generation Identification is the FBI’s advanced biometric identification system that expands beyond fingerprints to include modalities like iris, facial recognition, and palm prints for more accurate and comprehensive criminal and civil identification.
  • D. Medical Register
    The Medical Register is an official list of qualified medical practitioners in the United Kingdom, maintained to regulate and standardize the medical profession.
  • E. Centre for Collaboration with Registry Networks
    The Centre for Collaboration with Registry Networks is a specialized unit within Norway’s public health system that coordinates and advances the use of health registries for research, surveillance, and policy development.
  • F. None of above.

Provenance (5 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd95e9481909cc88e8d91601754 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43305664819085e762e42b138754 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf452b237c8190958f7b42e9611e7b completed April 3, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69cf45e6f4108190ac6955264b466abb completed April 3, 2026, 4:45 a.m.
Created at: March 30, 2026, 6:39 p.m.