Triple
T8418866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IHE MHD |
E198796
|
entity |
| Predicate | usesResourceType |
P3729
|
FINISHED |
| Object |
FHIR Binary
FHIR Binary is a FHIR resource type used to represent and exchange raw binary content such as documents, images, or other files within healthcare interoperability workflows.
|
E732175
|
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: FHIR Binary | Statement: [IHE MHD, usesResourceType, FHIR Binary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FHIR Binary Context triple: [IHE MHD, usesResourceType, FHIR Binary]
-
A.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
B.
DICOMweb STOW-RS
DICOMweb STOW-RS is a web-based DICOM service that enables clients to store medical imaging studies and related data over HTTP using RESTful APIs.
-
C.
FHIR R5 (preview)
FHIR R5 (preview) is the upcoming fifth major release of the HL7 Fast Healthcare Interoperability Resources standard, offering enhanced data models and interoperability features for exchanging healthcare information.
-
D.
DICOM Part 10: Media Storage and File Format
DICOM Part 10: Media Storage and File Format is the section of the DICOM standard that defines how medical images and related data are encapsulated, structured, and stored in files for exchange and archiving across different systems.
-
E.
Orthanc
Orthanc is an open-source, lightweight DICOM server and ecosystem designed for medical imaging storage, retrieval, and integration in healthcare and research environments.
- 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: FHIR Binary Triple: [IHE MHD, usesResourceType, FHIR Binary]
Generated description
FHIR Binary is a FHIR resource type used to represent and exchange raw binary content such as documents, images, or other files within healthcare interoperability workflows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FHIR Binary Target entity description: FHIR Binary is a FHIR resource type used to represent and exchange raw binary content such as documents, images, or other files within healthcare interoperability workflows.
-
A.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
B.
DICOMweb STOW-RS
DICOMweb STOW-RS is a web-based DICOM service that enables clients to store medical imaging studies and related data over HTTP using RESTful APIs.
-
C.
FHIR R5 (preview)
FHIR R5 (preview) is the upcoming fifth major release of the HL7 Fast Healthcare Interoperability Resources standard, offering enhanced data models and interoperability features for exchanging healthcare information.
-
D.
DICOM Part 10: Media Storage and File Format
DICOM Part 10: Media Storage and File Format is the section of the DICOM standard that defines how medical images and related data are encapsulated, structured, and stored in files for exchange and archiving across different systems.
-
E.
Orthanc
Orthanc is an open-source, lightweight DICOM server and ecosystem designed for medical imaging storage, retrieval, and integration in healthcare and research environments.
- F. None of above. chosen
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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c7d6e48190a2bbde89c5d42af6 |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce03476b288190b3df8f9f4d502ea8 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0782b0dc8190bf971eacb3b4582c |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce0854ce788190a209f229d504c038 |
completed | April 2, 2026, 6:10 a.m. |
Created at: March 30, 2026, 6:06 p.m.