Triple

T16227885
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 441 E393899 entity
Predicate passesThrough P225 FINISHED
Object Commerce, Georgia E913351 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: Commerce, Georgia | Statement: [U.S. Route 441, passesThrough, Commerce, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Commerce, Georgia
Context triple: [U.S. Route 441, passesThrough, Commerce, Georgia]
  • A. Commerce, Georgia chosen
    Commerce, Georgia is a small northeastern Georgia city known for its historic downtown and proximity to major transportation routes like Interstate 85.
  • B. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • C. Jakin, Georgia
    Jakin, Georgia is a small rural city in southwestern Georgia known for its agricultural surroundings and close-knit community.
  • D. Kennesaw, Georgia
    Kennesaw, Georgia is a suburban city in Cobb County northwest of Atlanta, known for its Civil War history, including the nearby Kennesaw Mountain National Battlefield Park.
  • E. Newton, Georgia
    Newton, Georgia is a small city in southwestern Georgia that serves as the administrative and governmental center of Baker County.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2785f88190ae80d5d61129d3e5 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079e83f08190a260751fd8b55eef completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.