Triple

T6492885
Position Surface form Disambiguated ID Type / Status
Subject Ware County, Georgia E148084 entity
Predicate largestCity P235 FINISHED
Object Waycross, Georgia E123066 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: Waycross, Georgia | Statement: [Ware County, Georgia, largestCity, Waycross, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waycross, Georgia
Context triple: [Ware County, Georgia, largestCity, Waycross, Georgia]
  • A. Waycross, Georgia chosen
    Waycross, Georgia is a small city in southeastern Georgia known as a regional railroad hub and gateway to the Okefenokee Swamp.
  • 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. 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.
  • D. Baxley, Georgia
    Baxley, Georgia is a small city in Appling County known for its rural character and proximity to major energy infrastructure in southeastern Georgia.
  • E. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab6abbc8190a4971ad5a654b0cd completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdc835081909772f3a3aaee538f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.