Triple
T28872525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FHIR Binary |
E732175
|
entity |
| Predicate | securityContextTypicalTarget |
P60827
|
FINISHED |
| Object | DocumentReference |
—
|
NE NERFINISHED |
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: DocumentReference | Statement: [FHIR Binary, securityContextTypicalTarget, DocumentReference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityContextTypicalTarget Context triple: [FHIR Binary, securityContextTypicalTarget, DocumentReference]
-
A.
securityContext
Indicates the security-related settings or constraints under which an action, process, or interaction is performed.
-
B.
typicalSecurityLevel
chosen
Indicates the usual or standard security level that is generally applied or expected in a given context or system.
-
C.
securityContextDatatype
Indicates that one entity defines or specifies the datatype used to represent the security context associated with another entity.
-
D.
securityScope
Indicates the range or extent of protection, permissions, or access control that applies within a given security context.
-
E.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
- F. None of above.
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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 28, 2026, 7:34 a.m.