Triple
T9807296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diagnostics Division |
E238183
|
entity |
| Predicate | hasBusinessSegment |
P1670
|
FINISHED |
| Object |
Tissue Diagnostics
Tissue Diagnostics is a business segment focused on analyzing tissue samples, typically for disease detection and pathology in clinical and research settings.
|
E822407
|
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: Tissue Diagnostics | Statement: [Diagnostics Division, hasBusinessSegment, Tissue Diagnostics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tissue Diagnostics Context triple: [Diagnostics Division, hasBusinessSegment, Tissue Diagnostics]
-
A.
Diagnostics and Genomics
Diagnostics and Genomics is a business segment focused on providing advanced tools and solutions for molecular diagnostics, genetic analysis, and related clinical and research applications.
-
B.
Diagnostics Division
The Diagnostics Division is a major business unit of Roche that develops and supplies diagnostic systems, tests, and related technologies for healthcare and clinical laboratories worldwide.
-
C.
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.
-
D.
Institute of Pathology
The Institute of Pathology at Charité – Universitätsmedizin Berlin is a leading academic center for diagnostic pathology and research on the mechanisms, classification, and progression of human diseases.
-
E.
Division of Cancer Treatment and Diagnosis
The Division of Cancer Treatment and Diagnosis is a branch of the National Cancer Institute that supports the development, evaluation, and clinical testing of new cancer therapies and diagnostic tools.
- 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: Tissue Diagnostics Triple: [Diagnostics Division, hasBusinessSegment, Tissue Diagnostics]
Generated description
Tissue Diagnostics is a business segment focused on analyzing tissue samples, typically for disease detection and pathology in clinical and research settings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tissue Diagnostics Target entity description: Tissue Diagnostics is a business segment focused on analyzing tissue samples, typically for disease detection and pathology in clinical and research settings.
-
A.
Diagnostics and Genomics
Diagnostics and Genomics is a business segment focused on providing advanced tools and solutions for molecular diagnostics, genetic analysis, and related clinical and research applications.
-
B.
Diagnostics Division
The Diagnostics Division is a major business unit of Roche that develops and supplies diagnostic systems, tests, and related technologies for healthcare and clinical laboratories worldwide.
-
C.
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.
-
D.
Institute of Pathology
The Institute of Pathology at Charité – Universitätsmedizin Berlin is a leading academic center for diagnostic pathology and research on the mechanisms, classification, and progression of human diseases.
-
E.
Division of Cancer Treatment and Diagnosis
The Division of Cancer Treatment and Diagnosis is a branch of the National Cancer Institute that supports the development, evaluation, and clinical testing of new cancer therapies and diagnostic tools.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7ddaac8190a5584a5c863fbaa3 |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc57119881909616d835def02fc9 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cd137b30819089356b9fbc265d17 |
completed | April 5, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd8fcf488190bc72a99e81fb618b |
completed | April 5, 2026, 2:48 a.m. |
Created at: March 30, 2026, 8:29 p.m.