Triple

T14011084
Position Surface form Disambiguated ID Type / Status
Subject George Rockingham Gilmer E337078 entity
Predicate burialPlace P196 FINISHED
Object Lexington, Georgia E1087010 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: Lexington, Georgia | Statement: [George Rockingham Gilmer, burialPlace, Lexington, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexington, Georgia
Context triple: [George Rockingham Gilmer, burialPlace, Lexington, Georgia]
  • A. Lexington, Georgia chosen
    Lexington, Georgia is a small historic city in Oglethorpe County that once served as the county seat and reflects early 19th-century Georgia history.
  • B. Louisville, Georgia
    Louisville, Georgia is a small historic city that briefly served as the capital of the U.S. state of Georgia in the late 18th century.
  • C. Lenox, Georgia
    Lenox, Georgia is a small town in southern Georgia known for its rural character and location along Interstate 75.
  • D. Springfield, Georgia
    Springfield, Georgia is a small city in Effingham County that serves as a residential and community hub within the greater Savannah metropolitan region.
  • E. Arlington, Georgia
    Arlington, Georgia is a small rural city in the southwestern part of the state known historically for its agricultural economy and tight-knit 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0008dc819088fcfbfe3640af47 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 10:19 p.m.