Triple
T8219194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Tech University Health Sciences Center |
E192014
|
entity |
| Predicate | hasAcademicDivision |
P50
|
FINISHED |
| Object |
School of Medicine
The School of Medicine at Texas Tech University Health Sciences Center is a medical education and research institution that trains future physicians and advances healthcare through clinical practice and biomedical scholarship.
|
E719073
|
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: School of Medicine | Statement: [Texas Tech University Health Sciences Center, hasAcademicDivision, School of Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Medicine Context triple: [Texas Tech University Health Sciences Center, hasAcademicDivision, School of Medicine]
-
A.
School of Medicine
The School of Medicine at the Lebanese American University is a medical education institution that trains future physicians and conducts research within the health sciences.
-
B.
School of Medicine
The School of Medicine at Pusan National University is a medical education and research institution in South Korea that trains future physicians and advances biomedical science.
-
C.
School of Medicine
The School of Medicine at Tsinghua University is a leading Chinese medical education and research institution known for integrating clinical training with cutting-edge biomedical and interdisciplinary science.
-
D.
School of Medicine
The School of Medicine at McGill University is a core academic unit responsible for educating future physicians and advancing medical research within the Faculty of Medicine and Health Sciences.
-
E.
School of Medicine
The School of Medicine is the medical education and training institution of the University of Missouri–Kansas City, offering programs that prepare students for careers as physicians and healthcare professionals.
- 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: School of Medicine Triple: [Texas Tech University Health Sciences Center, hasAcademicDivision, School of Medicine]
Generated description
The School of Medicine at Texas Tech University Health Sciences Center is a medical education and research institution that trains future physicians and advances healthcare through clinical practice and biomedical scholarship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Medicine Target entity description: The School of Medicine at Texas Tech University Health Sciences Center is a medical education and research institution that trains future physicians and advances healthcare through clinical practice and biomedical scholarship.
-
A.
School of Medicine
The School of Medicine is the medical education and research institution of West Virginia University, training physicians and other health professionals while advancing biomedical science and healthcare in the region.
-
B.
School of Medicine
The School of Medicine is the medical education and research institution of the University of California, Riverside, training future physicians and advancing healthcare through clinical and biomedical scholarship.
-
C.
School of Medicine
The School of Medicine at Tulane University is a medical education and research institution that trains physicians and advances biomedical knowledge as part of the university’s health sciences programs.
-
D.
School of Medicine
The School of Medicine at Southern Illinois University is a medical education and research institution that trains physicians and advances healthcare through clinical practice and biomedical research.
-
E.
School of Medicine
The School of Medicine is the medical education and research institution of the University of Nevada, Reno, training future physicians and advancing healthcare in the region.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7772b76c8190b1952650c736eb91 |
completed | March 31, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedfb6f608190aebfa720b56325e5 |
completed | April 1, 2026, 10:05 a.m. |
| NEDg | Description generation | batch_69ccf1bbbd2481908400436e05911326 |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05eaba1c81908510a20b1ca93821 |
completed | April 1, 2026, 11:47 a.m. |
Created at: March 30, 2026, 5:45 p.m.