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.