Triple

T17573601
Position Surface form Disambiguated ID Type / Status
Subject east-central Georgia E428000 entity
Predicate hasCity P316 FINISHED
Object Waynesboro, 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: Waynesboro, Georgia | Statement: [east-central Georgia, hasCity, Waynesboro, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waynesboro, Georgia
Context triple: [east-central Georgia, hasCity, Waynesboro, Georgia]
  • A. Waynesboro, Georgia chosen
    Waynesboro, Georgia is a small historic city in eastern Georgia known for its agricultural surroundings and role as a local economic and cultural center.
  • B. Woodbury, Georgia
    Woodbury, Georgia is a small city in Meriwether County known for its rural character and historic railroad and agricultural roots in west-central Georgia.
  • C. Burwell, Georgia
    Burwell, Georgia is a small unincorporated rural community located in western Georgia.
  • D. Watkinsville, Georgia
    Watkinsville, Georgia is a small city in northeastern Georgia known for its historic charm, arts community, and role as the governmental and cultural center of Oconee County.
  • E. Warrenton, Georgia
    Warrenton, Georgia is a small historic city in east-central Georgia that serves as the county seat of Warren County.
  • 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.