Triple
T8419084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IHE Dental |
E198801
|
entity |
| Predicate | reliesOn |
P1022
|
FINISHED |
| Object | DICOM standards |
E38992
|
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: DICOM standards | Statement: [IHE Dental, reliesOn, DICOM standards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DICOM standards Context triple: [IHE Dental, reliesOn, DICOM standards]
-
A.
DICOM standard
chosen
The DICOM standard is a widely used international specification for handling, storing, transmitting, and displaying medical imaging information and related data.
-
B.
DICOM PS3.5 Data Structures and Encoding
DICOM PS3.5 Data Structures and Encoding is the part of the DICOM standard that defines how medical imaging information is formatted, encoded, and structured for reliable storage and exchange between systems.
-
C.
DICOM supplements
DICOM supplements are official extension documents to the DICOM medical imaging standard that introduce new features, data structures, and capabilities for interoperability in healthcare imaging systems.
-
D.
DICOM Standards Committee
The DICOM Standards Committee is the international body responsible for developing and maintaining the DICOM standard for medical imaging interoperability.
-
E.
DICOM structured reports
DICOM structured reports are standardized, machine-readable documents used in medical imaging to encode, store, and exchange detailed diagnostic findings and measurements alongside images.
- 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_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_69cf27e1bda481909062b9259a168eb0 |
completed | April 3, 2026, 2:37 a.m. |
Created at: March 30, 2026, 6:06 p.m.