Triple

T6798241
Position Surface form Disambiguated ID Type / Status
Subject Atlanta United 2 E156111 entity
Predicate basedIn P40 FINISHED
Object Atlanta, Georgia E2602 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: Atlanta, Georgia | Statement: [Atlanta United 2, basedIn, Atlanta, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlanta, Georgia
Context triple: [Atlanta United 2, basedIn, Atlanta, Georgia]
  • A. Atlanta chosen
    Atlanta is the capital and largest city of the U.S. state of Georgia, known as a major cultural, economic, and transportation hub of the southeastern United States.
  • B. Savannah metropolitan area
    The Savannah metropolitan area is a coastal urban region in southeastern Georgia centered on the historic port city of Savannah, known for its tourism, logistics, and cultural heritage.
  • C. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • D. Pelham, Georgia
    Pelham, Georgia is a small city in southwestern Georgia known for its agricultural roots and historic downtown.
  • E. Kennesaw, Georgia
    Kennesaw, Georgia is a suburban city in Cobb County northwest of Atlanta, known for its Civil War history, including the nearby Kennesaw Mountain National Battlefield Park.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ca0c288190a990180fb7cfd08f completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d211508190a31747b2d67ed42e completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:15 p.m.