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.