Triple

T14573261
Position Surface form Disambiguated ID Type / Status
Subject Union County, Georgia E341973 entity
Predicate hasCountySeat P383 FINISHED
Object Blairsville, Georgia E193038 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: Blairsville, Georgia | Statement: [Union County, Georgia, hasCountySeat, Blairsville, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blairsville, Georgia
Context triple: [Union County, Georgia, hasCountySeat, Blairsville, Georgia]
  • A. Blitchton, Georgia
    Blitchton, Georgia is a small unincorporated community in Bryan County in southeastern Georgia, located near the eastern end of U.S. Route 280.
  • B. Blairsville chosen
    Blairsville is a small mountain town in northern Georgia known for its scenic Appalachian setting and outdoor recreation opportunities.
  • C. Beulah, Georgia
    Beulah, Georgia is a small unincorporated community located in Douglas County in the U.S. state of Georgia.
  • D. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • E. Fairburn, Georgia
    Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f33b1c8190bb447788bfd28d51 completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b5d97481908b2d3d531817a3a6 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:24 a.m.