Triple
T23516977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Centre for Disease Control |
E574392
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Biostatistics Division
The Biostatistics Division is a specialized unit within the National Centre for Disease Control that applies statistical methods to analyze health data and support disease surveillance, research, and public health decision-making.
|
E1591640
|
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: Biostatistics Division | Statement: [National Centre for Disease Control, hasDivision, Biostatistics Division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biostatistics Division Context triple: [National Centre for Disease Control, hasDivision, Biostatistics Division]
-
A.
Department of Biostatistics
The Department of Biostatistics at Columbia University's Mailman School of Public Health is an academic unit specializing in the development and application of statistical methods to public health and biomedical research.
-
B.
Department of Biostatistics
The Department of Biostatistics at Vanderbilt University School of Medicine is an academic unit specializing in the development and application of statistical methods for biomedical and health sciences research.
-
C.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
D.
Department of Biostatistics
The Department of Biostatistics is an academic unit specializing in the development and application of statistical methods to biomedical and public health research.
-
E.
Department of Biostatistics
The Department of Biostatistics at the University of Michigan School of Public Health is a leading academic unit specializing in the development and application of statistical methods to biomedical and public health research.
- 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: Biostatistics Division Triple: [National Centre for Disease Control, hasDivision, Biostatistics Division]
Generated description
The Biostatistics Division is a specialized unit within the National Centre for Disease Control that applies statistical methods to analyze health data and support disease surveillance, research, and public health decision-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biostatistics Division Target entity description: The Biostatistics Division is a specialized unit within the National Centre for Disease Control that applies statistical methods to analyze health data and support disease surveillance, research, and public health decision-making.
-
A.
Department of Biostatistics
The Department of Biostatistics at Columbia University's Mailman School of Public Health is an academic unit specializing in the development and application of statistical methods to public health and biomedical research.
-
B.
Department of Biostatistics
The Department of Biostatistics at Vanderbilt University School of Medicine is an academic unit specializing in the development and application of statistical methods for biomedical and health sciences research.
-
C.
Department of Biostatistics
The Department of Biostatistics at the University of Michigan School of Public Health is a leading academic unit specializing in the development and application of statistical methods to biomedical and public health research.
-
D.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
E.
Department of Biostatistics
The Department of Biostatistics at the University of Iowa College of Public Health is an academic unit specializing in the development and application of statistical methods to biomedical and public health research.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa82a8448190bf7ad56137c5eb94 |
completed | April 29, 2026, 6:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf4acf7081909ea152eb4a634bab |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce210d8108190a6338389fcefb5a4 |
completed | May 19, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce2bffdd8819081ef20b90bc0ae7b |
completed | May 19, 2026, 10:22 p.m. |
Created at: April 17, 2026, 6:08 p.m.