Triple

T905386
Position Surface form Disambiguated ID Type / Status
Subject Talbot County, Georgia E19535 entity
Predicate hasSettlement P1068 FINISHED
Object Geneva, Georgia E154202 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: Geneva, Georgia | Statement: [Talbot County, Georgia, hasSettlement, Geneva, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva, Georgia
Context triple: [Talbot County, Georgia, hasSettlement, Geneva, Georgia]
  • A. Geneva, Georgia chosen
    Geneva, Georgia is a small rural town located in west-central Georgia in the United States.
  • B. Hamilton, Georgia
    Hamilton, Georgia is a small city in west-central Georgia that serves as the governmental and commercial hub of Harris County.
  • C. Columbus, Georgia
    Columbus, Georgia is a major city in western Georgia located along the Chattahoochee River, known for its military presence near Fort Moore and its revitalized riverfront and whitewater attractions.
  • D. Roswell, Georgia
    Roswell, Georgia is a suburban city in the Atlanta metropolitan area known for its historic downtown, antebellum homes, and Chattahoochee River recreation.
  • E. Newnan, Georgia
    Newnan, Georgia is a historic city in west-central Georgia, known for its well-preserved antebellum architecture and role as a regional economic and cultural center.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2caf4088190ab05b22531ecec43 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace540122c8190824f6de78dc1a411 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:39 p.m.