Triple

T19899669
Position Surface form Disambiguated ID Type / Status
Subject Ware County E478248 entity
Predicate contains P35 FINISHED
Object Waycross 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: Waycross | Statement: [Ware County, contains, Waycross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waycross
Context triple: [Ware County, contains, Waycross]
  • 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. Saraland
    Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
  • C. Hanceville
    Hanceville is a small rural community in British Columbia, Canada, situated within the remote and sparsely populated Chilcotin Plateau.
  • D. Tuskaloosa
    Tuskaloosa was a paramount chief of the Mississippian culture in the 16th century, known for leading Native American resistance against Spanish explorer Hernando de Soto in what is now the southeastern United States.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.