Triple
T8755676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSG |
E208066
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | IHE MHD profile |
E198796
|
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: IHE MHD profile | Statement: [DSG, relatedTo, IHE MHD profile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IHE MHD profile Context triple: [DSG, relatedTo, IHE MHD profile]
-
A.
IHE MHD
chosen
IHE MHD (Mobile Access to Health Documents) is an IHE profile that defines a standardized, RESTful, FHIR-based way to access, query, and exchange clinical documents and metadata in healthcare systems.
-
B.
IHE
IHE is a global healthcare initiative that promotes the coordinated use of established standards to improve the interoperability of health information systems.
-
C.
IHE PIX
IHE PIX (Patient Identifier Cross-Referencing) is an IHE profile that enables healthcare systems to link and manage multiple patient identifiers across different institutions to support accurate patient identity matching and data exchange.
-
D.
MHD
MHD is a French rapper known for pioneering the Afro trap genre, blending hip-hop with African musical influences.
-
E.
IHE Laboratory
IHE Laboratory is a domain within the Integrating the Healthcare Enterprise initiative that defines standards-based profiles to improve interoperability and information exchange in clinical laboratory workflows.
- 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_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. |
Created at: March 30, 2026, 6:39 p.m.