Triple

T22616989
Position Surface form Disambiguated ID Type / Status
Subject Quitman E558173 entity
Predicate hasToponymicUse P20238 FINISHED
Object Quitman, Georgia NE NERFINISHED

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: Quitman, Georgia | Statement: [Quitman, hasToponymicUse, Quitman, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quitman, Georgia
Context triple: [Quitman, hasToponymicUse, Quitman, Georgia]
  • A. Quitman, Georgia chosen
    Quitman, Georgia is a small city in Brooks County that serves as a local agricultural and commercial center within the Valdosta metropolitan region in southern Georgia.
  • B. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • C. Waycross, Georgia
    Waycross, Georgia is a small city in southeastern Georgia known as a regional railroad hub and gateway to the Okefenokee Swamp.
  • D. Funston, Georgia
    Funston, Georgia is a small town located in Colquitt County in the southern part of the U.S. state of Georgia.
  • E. Ellijay
    Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167eeb220819082c90a8bd3cadc4c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.