Triple

T28872525
Position Surface form Disambiguated ID Type / Status
Subject FHIR Binary E732175 entity
Predicate securityContextTypicalTarget P60827 FINISHED
Object DocumentReference
DocumentReference is a FHIR resource that catalogs and provides metadata about external clinical documents, enabling their discovery, access, and management within healthcare systems.
 E1837201 NE FINISHED

How this triple was built (3 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]
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: DocumentReference
Triple: [FHIR Binary, securityContextTypicalTarget, DocumentReference]
Generated description
DocumentReference is a FHIR resource that catalogs and provides metadata about external clinical documents, enabling their discovery, access, and management within healthcare systems.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a24bbca11bc8190a5ca086b292bc308 completed June 7, 2026, 12:31 a.m.
NEDg Description generation batch_6a24c6cd18dc8190b5dd81a7443810ee completed June 7, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a24c7444a28819093301b041d54b916 completed June 7, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 28, 2026, 7:34 a.m.