Triple

T15483296
Position Surface form Disambiguated ID Type / Status
Subject South Georgia E376975 entity
Predicate hasCity P316 FINISHED
Object Dublin, Georgia E240504 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: Dublin, Georgia | Statement: [South Georgia, hasCity, Dublin, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin, Georgia
Context triple: [South Georgia, hasCity, Dublin, Georgia]
  • A. Dublin, Georgia chosen
    Dublin, Georgia is a small city in Laurens County known as a regional hub in central Georgia with a historic downtown and annual St. Patrick’s Festival.
  • B. East Dublin, Georgia
    East Dublin, Georgia is a small city in central Georgia located across the Oconee River from the larger city of Dublin.
  • C. Columbus, Georgia
    Columbus, Georgia is a major city in western Georgia located along the Chattahoochee River, known for its military presence near Fort Moore and its revitalized riverfront and whitewater attractions.
  • D. Douglasville, Georgia
    Douglasville, Georgia is a suburban city in the Atlanta metropolitan area known for its historic downtown and role as a regional commercial and residential hub.
  • E. Marietta, Georgia
    Marietta, Georgia is a historic city in the Atlanta metropolitan area known for its Civil War heritage, vibrant downtown square, and role as a regional economic and cultural center.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56b9238081908fb2e6a7dcc2296f completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 3:42 a.m.