Triple

T1100770
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 400 E24373 entity
Predicate servesCity P82 FINISHED
Object Dahlonega, Georgia E42810 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: Dahlonega, Georgia | Statement: [Georgia State Route 400, servesCity, Dahlonega, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahlonega, Georgia
Context triple: [Georgia State Route 400, servesCity, Dahlonega, Georgia]
  • A. Dahlonega, Georgia chosen
    Dahlonega, Georgia is a historic North Georgia mountain town best known as the site of one of the first major U.S. gold rushes and now a popular tourist destination with a preserved 19th-century downtown.
  • B. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • C. Dalton, Georgia
    Dalton, Georgia is a city in northwest Georgia known as a major center of the U.S. carpet and floor-covering industry.
  • D. Zebulon, Georgia
    Zebulon, Georgia is a small historic city in central Georgia that serves as the administrative and cultural hub of Pike County.
  • E. Fairburn, Georgia
    Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c079f48190a0e0ddda182f7a01 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad519194988190bb0eb59e7fa34dea completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 7:43 p.m.