Triple

T28871635
Position Surface form Disambiguated ID Type / Status
Subject Query/Retrieve Service Class E732158 entity
Predicate supportsInformationModel P19966 FINISHED
Object Patient Root Information Model
The Patient Root Information Model is a DICOM information model that organizes and relates patient-centric medical imaging data, such as studies and series, under a single patient hierarchy.
E1837163 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: Patient Root Information Model | Statement: [Query/Retrieve Service Class, supportsInformationModel, Patient Root Information Model]
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: Patient Root Information Model
Triple: [Query/Retrieve Service Class, supportsInformationModel, Patient Root Information Model]
Generated description
The Patient Root Information Model is a DICOM information model that organizes and relates patient-centric medical imaging data, such as studies and series, under a single patient hierarchy.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsInformationModel
Context triple: [Query/Retrieve Service Class, supportsInformationModel, Patient Root Information Model]
  • A. supportedModel
    Indicates that one entity provides compatibility with, or operational backing for, a particular model.
  • B. supportsModelingOf
    Indicates that one entity provides the capability or functionality needed to represent, simulate, or model another entity or process.
  • C. supportsModelType chosen
    Indicates that an entity is compatible with, or can operate using, a specified model type.
  • D. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • E. dataSupports
    Indicates that one piece of data provides evidence, justification, or backing for the validity or reliability of another piece of data, claim, or conclusion.
  • 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_6a0212b3462c8190ba3587852cb10655 completed May 11, 2026, 5:32 p.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_6a020f3138a48190ac630e810939e881 completed May 11, 2026, 5:17 p.m.
Created at: April 28, 2026, 7:33 a.m.