Triple

T3777672
Position Surface form Disambiguated ID Type / Status
Subject CT scanner E83345 entity
Predicate hasMeasurementUnit P28578 FINISHED
Object Hounsfield unit (for attenuation values)
The Hounsfield unit is a quantitative scale used in CT imaging to express tissue radiodensity relative to water and air, enabling standardized comparison of attenuation values across scans.
E387405 NE FINISHED

How this triple was built (5 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: Hounsfield unit (for attenuation values) | Statement: [CT scanner, hasMeasurementUnit, Hounsfield unit (for attenuation values)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hounsfield unit (for attenuation values)
Context triple: [CT scanner, hasMeasurementUnit, Hounsfield unit (for attenuation values)]
  • A. 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.
  • B. IHE Laboratory
    IHE Laboratory is a domain within the Integrating the Healthcare Enterprise initiative that defines standards-based profiles to improve interoperability and information exchange in clinical laboratory workflows.
  • C. Gundersen method
    The Gundersen method is a timing-based system in Nordic combined that converts ski jumping results into staggered start times for the cross-country race so that the first athlete to finish wins overall.
  • D. provide imaging-based diagnosis for patients of University Medical Center Göttingen
    The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in advanced medical imaging to support diagnosis, treatment planning, and patient care across the hospital.
  • E. IHE
    IHE is a global healthcare initiative that promotes the coordinated use of established standards to improve the interoperability of health information 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: Hounsfield unit (for attenuation values)
Triple: [CT scanner, hasMeasurementUnit, Hounsfield unit (for attenuation values)]
Generated description
The Hounsfield unit is a quantitative scale used in CT imaging to express tissue radiodensity relative to water and air, enabling standardized comparison of attenuation values across scans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hounsfield unit (for attenuation values)
Target entity description: The Hounsfield unit is a quantitative scale used in CT imaging to express tissue radiodensity relative to water and air, enabling standardized comparison of attenuation values across scans.
  • A. 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.
  • B. IHE Laboratory
    IHE Laboratory is a domain within the Integrating the Healthcare Enterprise initiative that defines standards-based profiles to improve interoperability and information exchange in clinical laboratory workflows.
  • C. Gundersen method
    The Gundersen method is a timing-based system in Nordic combined that converts ski jumping results into staggered start times for the cross-country race so that the first athlete to finish wins overall.
  • D. provide imaging-based diagnosis for patients of University Medical Center Göttingen
    The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in advanced medical imaging to support diagnosis, treatment planning, and patient care across the hospital.
  • E. IHE
    IHE is a global healthcare initiative that promotes the coordinated use of established standards to improve the interoperability of health information systems.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMeasurementUnit
Context triple: [CT scanner, hasMeasurementUnit, Hounsfield unit (for attenuation values)]
  • A. unitOfMeasure
    Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
  • B. hasUnitOf chosen
    Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
  • C. hasMeasurement
    Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
  • D. typeOfMeasure
    Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
  • E. measuredAs
    Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e534a02c8190b8dd76ed965f393f completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6b1cefc8190971e9441dc145e19 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea8b9d2c819088db1fdf9dc90c0c completed March 14, 2026, 4:56 a.m.
PD Predicate disambiguation batch_69adc050cc5c81909d9855f866f3c26d completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:36 p.m.