Triple

T13926864
Position Surface form Disambiguated ID Type / Status
Subject Dental College of Georgia E334881 entity
Predicate abbreviation P43 FINISHED
Object DCG
DCG is the Dental College of Georgia, a dental school that provides education, research, and clinical services in dentistry.
 E1070877 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: DCG | Statement: [Dental College of Georgia, abbreviation, DCG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DCG
Context triple: [Dental College of Georgia, abbreviation, DCG]
  • A. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • B. DGC
    DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
  • C. DC3
    DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
  • D. DC1
    DC1 is the official municipal code designating South Africa’s West Coast District Municipality in the Western Cape province.
  • E. DCGS
    DCGS is the U.S. Air Force’s primary intelligence, surveillance, and reconnaissance (ISR) processing, exploitation, and dissemination system that integrates data from multiple sensors to support military operations.
  • 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: DCG
Triple: [Dental College of Georgia, abbreviation, DCG]
Generated description
DCG is the Dental College of Georgia, a dental school that provides education, research, and clinical services in dentistry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DCG
Target entity description: DCG is the Dental College of Georgia, a dental school that provides education, research, and clinical services in dentistry.
  • A. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • B. DGC
    DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
  • C. DC3
    DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
  • D. DC1
    DC1 is the official municipal code designating South Africa’s West Coast District Municipality in the Western Cape province.
  • E. DCGS
    DCGS is the U.S. Air Force’s primary intelligence, surveillance, and reconnaissance (ISR) processing, exploitation, and dissemination system that integrates data from multiple sensors to support military operations.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa7e9248190b0523415b9224e2f completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce80a3188190ac481b2de709d4f8 completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f7cfc5ebe481908a4d0324fa092990 completed May 3, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_69fb5504702081908a1492f1a8e24434 completed May 6, 2026, 2:49 p.m.
Created at: April 9, 2026, 10:16 p.m.