Triple
T300381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HL7 standards |
E6183
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | HL7 Version 3 |
E6183
|
NE 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: HL7 Version 3 | Statement: [HL7 standards, includes, HL7 Version 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HL7 Version 3 Context triple: [HL7 standards, includes, HL7 Version 3]
-
A.
HL7 standards
chosen
HL7 standards are a widely adopted set of international specifications for the exchange, integration, sharing, and retrieval of electronic health information between healthcare systems.
-
B.
SNOMED CT
SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
-
C.
IHE Patient Care Device profiles
IHE Patient Care Device profiles are interoperability specifications that define how medical devices integrate and exchange data within healthcare IT systems to support safe, coordinated patient care.
-
D.
International Classification of Diseases
The International Classification of Diseases is a globally used diagnostic system that standardizes codes for diseases, health conditions, and related medical problems to support clinical care, research, and health statistics.
-
E.
Integrating the Healthcare Enterprise
Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information by promoting the coordinated use of established standards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b0732b5c81908f08a37ce720bc04 |
completed | March 1, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.