Triple

T10190441
Position Surface form Disambiguated ID Type / Status
Subject College of Veterinary Medicine E238017 entity
Predicate offersDegree P49 FINISHED
Object DVM
DVM (Doctor of Veterinary Medicine) is a professional doctoral degree that qualifies graduates to practice as licensed veterinarians.
 E847439 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: DVM | Statement: [College of Veterinary Medicine, offersDegree, DVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DVM
Context triple: [College of Veterinary Medicine, offersDegree, DVM]
  • A. VETS
    VETS is a U.S. Department of Labor agency that helps veterans, service members, and their families prepare for, find, and keep meaningful civilian employment.
  • B. VCA
    VCA is the IATA airport code for Can Tho International Airport, a major aviation hub in Vietnam’s Mekong Delta region.
  • C. The Vet
    The Vet was a multi-purpose stadium in Philadelphia that served for decades as the home of the NFL’s Eagles and MLB’s Phillies.
  • D. RVN
    RVN is the IATA airport code for Rovaniemi Airport, the main air gateway to Rovaniemi in Finnish Lapland.
  • E. veterinary clinical teaching hospital
    A veterinary clinical teaching hospital is a specialized facility where veterinary students receive hands-on clinical training while providing medical care to animal patients under professional supervision.
  • 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: DVM
Triple: [College of Veterinary Medicine, offersDegree, DVM]
Generated description
DVM (Doctor of Veterinary Medicine) is a professional doctoral degree that qualifies graduates to practice as licensed veterinarians.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DVM
Target entity description: DVM (Doctor of Veterinary Medicine) is a professional doctoral degree that qualifies graduates to practice as licensed veterinarians.
  • A. VETS
    VETS is a U.S. Department of Labor agency that helps veterans, service members, and their families prepare for, find, and keep meaningful civilian employment.
  • B. VCA
    VCA is the IATA airport code for Can Tho International Airport, a major aviation hub in Vietnam’s Mekong Delta region.
  • C. The Vet
    The Vet was a multi-purpose stadium in Philadelphia that served for decades as the home of the NFL’s Eagles and MLB’s Phillies.
  • D. RVN
    RVN is the IATA airport code for Rovaniemi Airport, the main air gateway to Rovaniemi in Finnish Lapland.
  • E. veterinary clinical teaching hospital
    A veterinary clinical teaching hospital is a specialized facility where veterinary students receive hands-on clinical training while providing medical care to animal patients under professional supervision.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7d6fdc81908052866495b6574f completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317c0c22881909ed388721e80bafd completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d31b7fc66c8190b9de24200c149b45 completed April 6, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69d31c7bf1f88190beef483458923787 completed April 6, 2026, 2:37 a.m.
Created at: March 30, 2026, 9:13 p.m.