Triple

T12826285
Position Surface form Disambiguated ID Type / Status
Subject University of Texas Health Science Center at Houston E306659 entity
Predicate hasAcademicDivision P50 FINISHED
Object UTHealth Houston School of Biomedical Informatics
UTHealth Houston School of Biomedical Informatics is a graduate-level institution specializing in biomedical informatics, data science, and health information technology within the Texas Medical Center in Houston.
E306659 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: UTHealth Houston School of Biomedical Informatics | Statement: [University of Texas Health Science Center at Houston, hasAcademicDivision, UTHealth Houston School of Biomedical Informatics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTHealth Houston School of Biomedical Informatics
Context triple: [University of Texas Health Science Center at Houston, hasAcademicDivision, UTHealth Houston School of Biomedical Informatics]
  • A. University of Texas Health Science Center at Houston
    The University of Texas Health Science Center at Houston is a major academic health center that provides medical education, research, and clinical care as part of the University of Texas System.
  • B. Baylor College of Medicine
    Baylor College of Medicine is a leading private health sciences university and medical school in Houston known for its research, clinical care, and education programs.
  • C. University of Texas Southwestern Medical Center
    The University of Texas Southwestern Medical Center is a major academic medical center in Dallas known for its leading biomedical research, medical education, and patient care.
  • D. University of Texas Medical Branch
    The University of Texas Medical Branch is a major academic health science center and teaching hospital complex located in Galveston, Texas.
  • E. UT Health Tyler
    UT Health Tyler is a major regional hospital and academic medical center serving the healthcare needs of Tyler and the surrounding East Texas communities.
  • 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: UTHealth Houston School of Biomedical Informatics
Triple: [University of Texas Health Science Center at Houston, hasAcademicDivision, UTHealth Houston School of Biomedical Informatics]
Generated description
UTHealth Houston School of Biomedical Informatics is a graduate-level institution specializing in biomedical informatics, data science, and health information technology within the Texas Medical Center in Houston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UTHealth Houston School of Biomedical Informatics
Target entity description: UTHealth Houston School of Biomedical Informatics is a graduate-level institution specializing in biomedical informatics, data science, and health information technology within the Texas Medical Center in Houston.
  • A. University of Texas Health Science Center at Houston chosen
    The University of Texas Health Science Center at Houston is a major academic health center that provides medical education, research, and clinical care as part of the University of Texas System.
  • B. Baylor College of Medicine
    Baylor College of Medicine is a leading private health sciences university and medical school in Houston known for its research, clinical care, and education programs.
  • C. University of Texas Southwestern Medical Center
    The University of Texas Southwestern Medical Center is a major academic medical center in Dallas known for its leading biomedical research, medical education, and patient care.
  • D. University of Texas Medical Branch
    The University of Texas Medical Branch is a major academic health science center and teaching hospital complex located in Galveston, Texas.
  • E. UT Health Tyler
    UT Health Tyler is a major regional hospital and academic medical center serving the healthcare needs of Tyler and the surrounding East Texas communities.
  • F. None of above.

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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fae51608190a50970bd038359a5 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed4f7388190ba989b8a79bd7c6d completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f691341d0081909ca3b281ee64b42b completed May 3, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69f69237394c8190832d6dae22434fdc completed May 3, 2026, 12:09 a.m.
Created at: April 9, 2026, 5:33 p.m.