Triple
T300387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HL7 standards |
E6183
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | HL7 v2.x messaging |
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 v2.x messaging | Statement: [HL7 standards, includes, HL7 v2.x messaging]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HL7 v2.x messaging Context triple: [HL7 standards, includes, HL7 v2.x messaging]
-
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.
IEEE 11073 medical device communication standards
IEEE 11073 medical device communication standards are a family of international standards that define interoperable data exchange and integration between medical devices and healthcare information systems.
-
C.
ISO 20022
ISO 20022 is a global financial messaging standard that defines a common, structured data model for electronic payments, securities, trade, and other financial transactions.
-
D.
Health Connect
Health Connect is a unified health and fitness data platform on Android that lets apps securely share and manage users’ wellness information in one place.
-
E.
Specific Area Message Encoding
Specific Area Message Encoding (SAME) is a digital protocol used in U.S. emergency alerting systems to target warnings to specific geographic areas and types of hazards.
- 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_69a3aba14b0881908eb4f62ac9261d63 |
completed | March 1, 2026, 2:59 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.