Triple

T8418694
Position Surface form Disambiguated ID Type / Status
Subject DICOM Application Entity E198793 entity
Predicate hasAbbreviation P43 FINISHED
Object DICOM AE E198793 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 AE | Statement: [DICOM Application Entity, hasAbbreviation, DICOM AE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DICOM AE
Context triple: [DICOM Application Entity, hasAbbreviation, DICOM AE]
  • A. DICOM Application Entity chosen
    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.
  • B. DICOMweb
    DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
  • C. DICOM standard
    The DICOM standard is a widely used international specification for handling, storing, transmitting, and displaying medical imaging information and related data.
  • D. 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.
  • E. DICOM Unique Identifier (UID)
    DICOM Unique Identifier (UID) is a globally unique numeric string used in medical imaging to unambiguously identify objects such as studies, series, images, and other DICOM entities.
  • 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_69ce033df9c48190a8ec6b9347ba6e81 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.