Triple

T5989071
Position Surface form Disambiguated ID Type / Status
Subject Walter F. George E133298 entity
Predicate deathPlace P21 FINISHED
Object Vienna, Georgia, United States E548646 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: Vienna, Georgia, United States | Statement: [Walter F. George, deathPlace, Vienna, Georgia, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienna, Georgia, United States
Context triple: [Walter F. George, deathPlace, Vienna, Georgia, United States]
  • A. Vienna, Georgia chosen
    Vienna, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Dooly County.
  • B. Vienna, Virginia
    Vienna, Virginia is a suburban town in Fairfax County, just outside Washington, D.C., known for its affluent residential character and proximity to major federal government agencies.
  • C. Washington, Georgia
    Washington, Georgia is a historic small city in Wilkes County known for its well-preserved antebellum architecture and role in early American and Civil War history.
  • D. Geneva, Georgia
    Geneva, Georgia is a small rural town located in west-central Georgia in the United States.
  • E. Town of Vienna, Virginia
    The Town of Vienna, Virginia is a suburban community in Northern Virginia known for its small-town character, vibrant downtown, and proximity to Washington, D.C.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc76fd481908cc3f327e532a1a6 completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10854969c8190b9be249f26ad2f47 completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:04 p.m.