Triple

T12534585
Position Surface form Disambiguated ID Type / Status
Subject Orthanc E299654 entity
Predicate supportsProtocol P203 FINISHED
Object DICOM C-STORE
DICOM C-STORE is a core DICOM network service used to transmit and store medical imaging objects between systems such as modalities, PACS, and archives.
E990007 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: DICOM C-STORE | Statement: [Orthanc, supportsProtocol, DICOM C-STORE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DICOM C-STORE
Context triple: [Orthanc, supportsProtocol, DICOM C-STORE]
  • A. 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.
  • B. DICOMweb
    DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
  • C. DICOM Application Entity
    A DICOM Application Entity is a networked software or device component in medical imaging systems that sends, receives, and processes DICOM messages and services for exchanging clinical data.
  • D. DICOM PS3.7 Message Exchange
    DICOM PS3.7 Message Exchange is the part of the DICOM standard that defines how medical imaging systems structure, manage, and communicate messages to exchange clinical data reliably between application entities.
  • E. 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.
  • 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: DICOM C-STORE
Triple: [Orthanc, supportsProtocol, DICOM C-STORE]
Generated description
DICOM C-STORE is a core DICOM network service used to transmit and store medical imaging objects between systems such as modalities, PACS, and archives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DICOM C-STORE
Target entity description: DICOM C-STORE is a core DICOM network service used to transmit and store medical imaging objects between systems such as modalities, PACS, and archives.
  • A. 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.
  • B. DICOMweb
    DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
  • C. DICOM Application Entity
    A DICOM Application Entity is a networked software or device component in medical imaging systems that sends, receives, and processes DICOM messages and services for exchanging clinical data.
  • D. DICOM PS3.7 Message Exchange
    DICOM PS3.7 Message Exchange is the part of the DICOM standard that defines how medical imaging systems structure, manage, and communicate messages to exchange clinical data reliably between application entities.
  • E. 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.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.