Triple

T8254489
Position Surface form Disambiguated ID Type / Status
Subject Villa Rica, Georgia E193036 entity
Predicate nearbyCity P350 FINISHED
Object Douglasville, Georgia E411999 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: Douglasville, Georgia | Statement: [Villa Rica, Georgia, nearbyCity, Douglasville, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglasville, Georgia
Context triple: [Villa Rica, Georgia, nearbyCity, Douglasville, Georgia]
  • A. Douglasville, Georgia chosen
    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.
  • 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. Dacula, Georgia
    Dacula, Georgia is a small suburban city in Gwinnett County within the Atlanta metropolitan area.
  • E. Doraville, Georgia
    Doraville, Georgia is a small suburban city in the Atlanta metropolitan area known for its diverse population and mix of residential, industrial, and commercial districts.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78f8eccc8190b43204bf2f8defc1 completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde74c4e6c8190a426139f71689a3e completed April 2, 2026, 3:49 a.m.
Created at: March 30, 2026, 5:48 p.m.