Triple

T17573603
Position Surface form Disambiguated ID Type / Status
Subject east-central Georgia E428000 entity
Predicate hasCity P316 FINISHED
Object Sandersville, 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: Sandersville, Georgia | Statement: [east-central Georgia, hasCity, Sandersville, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandersville, Georgia
Context triple: [east-central Georgia, hasCity, Sandersville, Georgia]
  • A. Sandersville, Georgia chosen
    Sandersville, Georgia is a small city in central Georgia known historically for its kaolin mining industry and role as the county seat of Washington County.
  • B. Plainville, Georgia
    Plainville, Georgia is a small rural city located in northwestern Georgia within Gordon County.
  • C. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • D. Smithville, Georgia
    Smithville, Georgia is a small rural city located in Lee County in the southwestern part of the state.
  • E. Farmington, Georgia
    Farmington, Georgia is a small unincorporated rural community located in Oconee County in the U.S. state of Georgia.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459330c788190907a02fc98e0e24b completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.