Triple

T1867218
Position Surface form Disambiguated ID Type / Status
Subject Interstate 75 E34949 entity
Predicate passesThrough P225 FINISHED
Object Valdosta, Georgia E214466 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: Valdosta, Georgia | Statement: [Interstate 75, passesThrough, Valdosta, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdosta, Georgia
Context triple: [Interstate 75, passesThrough, Valdosta, Georgia]
  • A. Valdosta, Georgia chosen
    Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
  • B. Alvaton, Georgia
    Alvaton, Georgia is an unincorporated rural community located in Meriwether County in the west-central part of the state.
  • C. Senoia, Georgia
    Senoia, Georgia is a small historic city in Coweta County best known as a major filming location for numerous movies and TV shows, including "The Walking Dead."
  • D. Dahlonega, Georgia
    Dahlonega, Georgia is a historic North Georgia mountain town best known as the site of one of the first major U.S. gold rushes and now a popular tourist destination with a preserved 19th-century downtown.
  • E. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b6ac108190921c197abc5ab5b5 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fc7f4988190931e58d2f95b9049 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:34 p.m.