Triple

T3153724
Position Surface form Disambiguated ID Type / Status
Subject DeKalb County, Georgia E65935 entity
Predicate contains P35 FINISHED
Object Clarkston, Georgia E214390 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: Clarkston, Georgia | Statement: [DeKalb County, Georgia, contains, Clarkston, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarkston, Georgia
Context triple: [DeKalb County, Georgia, contains, Clarkston, Georgia]
  • A. Clarkston, Georgia chosen
    Clarkston, Georgia is a small, diverse city in the Atlanta metropolitan area known for its large refugee and immigrant population.
  • B. Calhoun, Georgia
    Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
  • C. St. Marys, Georgia
    St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
  • D. Williamson, Georgia
    Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
  • E. Meansville, Georgia
    Meansville, Georgia is a small rural town in Pike County known for its quiet residential character and location along regional routes in west-central Georgia.
  • 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_69b3738cbc1c819099a4f3e807c0eacf completed March 13, 2026, 2:16 a.m.
Created at: March 8, 2026, 3:05 p.m.