Triple

T12161007
Position Surface form Disambiguated ID Type / Status
Subject Kirby Smart E289704 entity
Predicate workLocation P7 FINISHED
Object Athens, Georgia E19503 NE FINISHED

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: Athens, Georgia | Statement: [Kirby Smart, workLocation, Athens, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens, Georgia
Context triple: [Kirby Smart, workLocation, Athens, Georgia]
  • A. Athens, Georgia chosen
    Athens, Georgia is a vibrant college town best known as the home of the University of Georgia and a historic hub for alternative rock and indie music.
  • B. Washington, Georgia
    Washington, Georgia is a historic small city in Wilkes County known for its well-preserved antebellum architecture and role in early American and Civil War history.
  • C. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • D. Auburn, Georgia
    Auburn, Georgia is a small city in Barrow and Gwinnett counties within the Atlanta metropolitan area.
  • E. Augusta, Georgia
    Augusta, Georgia is a major city in eastern Georgia known for hosting the Masters Tournament in professional golf and for its historic and military significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f646423c819088575a7032e6a9a3 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:50 p.m.