Triple

T2789771
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 53 E61899 entity
Predicate connectsCity P4245 FINISHED
Object Dawsonville, Georgia E219916 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: Dawsonville, Georgia | Statement: [Georgia State Route 53, connectsCity, Dawsonville, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawsonville, Georgia
Context triple: [Georgia State Route 53, connectsCity, Dawsonville, Georgia]
  • A. Dawsonville chosen
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • B. Dawson, Georgia
    Dawson, Georgia is a small city in Terrell County known as an agricultural and regional trade center in southwest Georgia.
  • C. Milledgeville, Georgia
    Milledgeville, Georgia is a historic city in central Georgia that served as the state’s capital during much of the 19th century and is known for its antebellum architecture and Southern heritage.
  • D. Calhoun, Georgia
    Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
  • E. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb4ef3081909122840a357801bf completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b34ba8e6b081908866127ff3da46e0 completed March 12, 2026, 11:26 p.m.
Created at: March 6, 2026, 9:58 p.m.