Triple

T8402298
Position Surface form Disambiguated ID Type / Status
Subject Dacula, Georgia E198402 entity
Predicate near P350 FINISHED
Object Buford, Georgia E430175 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: Buford, Georgia | Statement: [Dacula, Georgia, near, Buford, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buford, Georgia
Context triple: [Dacula, Georgia, near, Buford, Georgia]
  • A. Buford, Georgia chosen
    Buford, Georgia is a small city in the Atlanta metropolitan area known for the Mall of Georgia and its historic downtown district.
  • B. Snellville, Georgia
    Snellville, Georgia is a suburban city in Gwinnett County known for its residential communities, local parks, and proximity to Atlanta.
  • C. Dunwoody, Georgia
    Dunwoody, Georgia is a suburban city in the Atlanta metropolitan area known for its residential neighborhoods, shopping centers, and business districts.
  • D. Hapeville, Georgia
    Hapeville, Georgia is a small city in the Atlanta metropolitan area known for its proximity to Hartsfield–Jackson Atlanta International Airport and its historic downtown.
  • E. 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.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb824efa5c81908ce816cdb8e1fcfb completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d2a17e481908c7eab4624903251 completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:04 p.m.