Triple

T19494038
Position Surface form Disambiguated ID Type / Status
Subject UF CVM E487723 entity
Predicate shortName P43 FINISHED
Object UF CVM NE NERFINISHED

How this triple was built (2 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: UF CVM | Statement: [UF CVM, shortName, UF CVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UF CVM
Context triple: [UF CVM, shortName, UF CVM]
  • A. UF CVM chosen
    UF CVM is the University of Florida’s College of Veterinary Medicine, a leading institution for veterinary education, research, and clinical care.
  • B. CVM
    CVM is the IATA airport code for General Pedro J. Méndez International Airport serving Ciudad Victoria in the state of Tamaulipas, Mexico.
  • C. CVM
    CVM is the U.S. Food and Drug Administration’s Center for Veterinary Medicine, which regulates the safety and effectiveness of animal drugs and medicated feeds.
  • D. VCU
    VCU is the commonly used abbreviation for Virginia Commonwealth University, a large public research university located in Richmond, Virginia.
  • E. FUIW
    FUIW is an international organization that brings together universities and higher education institutions from Islamic countries to promote cooperation in education, science, and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6349002788190afe7831d008d440f completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.