Triple

T21977881
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 15 E542757 entity
Predicate passesThrough P225 FINISHED
Object Lyons, 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: Lyons, Georgia | Statement: [Georgia State Route 15, passesThrough, Lyons, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyons, Georgia
Context triple: [Georgia State Route 15, passesThrough, Lyons, Georgia]
  • A. Lyons, Georgia chosen
    Lyons, Georgia is a small city in southeastern Georgia that serves as the administrative and commercial hub of Toombs County.
  • B. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • C. Lovett, Georgia
    Lovett, Georgia is a small unincorporated rural community located in Laurens County in the central part of the state.
  • D. 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.
  • E. Lenox, Georgia
    Lenox, Georgia is a small town in southern Georgia known for its rural character and location along Interstate 75.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248a60708190a9aa8b9b7738c261 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.