Triple

T4605053
Position Surface form Disambiguated ID Type / Status
Subject Southside of Atlanta metropolitan area E100411 entity
Predicate includesCommunity P8617 FINISHED
Object Fairburn, Georgia E77675 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: Fairburn, Georgia | Statement: [Southside of Atlanta metropolitan area, includesCommunity, Fairburn, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairburn, Georgia
Context triple: [Southside of Atlanta metropolitan area, includesCommunity, Fairburn, Georgia]
  • A. Fairburn, Georgia chosen
    Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
  • B. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • C. Fair Oaks, Georgia
    Fair Oaks, Georgia is a small unincorporated community and census-designated place in the Atlanta metropolitan area.
  • D. Fortson, Georgia
    Fortson, Georgia is an unincorporated community in Muscogee County known primarily as a residential suburb of Columbus.
  • E. Grantville, Georgia
    Grantville, Georgia is a small city in west-central Georgia known for its historic downtown and role as a filming location for several movies and television shows.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5999f9c88190a43309573df61159 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa6d24808190a4edc426b8b719cd completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:12 p.m.