Triple

T3153733
Position Surface form Disambiguated ID Type / Status
Subject DeKalb County, Georgia E65935 entity
Predicate contains P35 FINISHED
Object Panthersville, Georgia E177167 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: Panthersville, Georgia | Statement: [DeKalb County, Georgia, contains, Panthersville, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panthersville, Georgia
Context triple: [DeKalb County, Georgia, contains, Panthersville, Georgia]
  • A. Panthersville, Georgia chosen
    Panthersville, Georgia is a suburban census-designated community in DeKalb County, near Atlanta.
  • B. Roopville, Georgia
    Roopville, Georgia is a small rural town in western Georgia known for its close-knit community and agricultural surroundings.
  • C. 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.
  • D. Luthersville, Georgia
    Luthersville, Georgia is a small incorporated city in west-central Georgia that serves as one of the primary communities within Meriwether 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c3d6d481908c296e9e09c07f6f completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250088c48190a226031afda38d87 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.