Triple

T915375
Position Surface form Disambiguated ID Type / Status
Subject Salzburg E19756 entity
Predicate twinCity P1072 FINISHED
Object Atlanta 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 | Statement: [Salzburg, twinCity, Atlanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlanta
Context triple: [Salzburg, twinCity, Atlanta]
  • 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. Athens, Georgia
    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.
  • D. ATL
    ATL is the three-letter IATA airport code for Hartsfield–Jackson Atlanta International Airport, one of the world’s busiest air travel hubs located in Atlanta, Georgia.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f789108190815fd1efbd6cc24f completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5a95a7c81908ea80c0f857a8d4a completed March 8, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:39 p.m.