Triple

T21337606
Position Surface form Disambiguated ID Type / Status
Subject Peachtree Road E526091 entity
Predicate runsThrough P416 FINISHED
Object Chamblee, 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: Chamblee, Georgia | Statement: [Peachtree Road, runsThrough, Chamblee, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamblee, Georgia
Context triple: [Peachtree Road, runsThrough, Chamblee, Georgia]
  • A. Chamblee, Georgia chosen
    Chamblee, Georgia is a small city in the northeastern Atlanta metropolitan area known for its diverse population, historic downtown, and growing commercial and residential development.
  • B. Metcalfe, Georgia
    Metcalfe, Georgia is a small unincorporated rural community located in Thomas County in the southern part of the state.
  • C. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • D. Fairmount, Georgia
    Fairmount, Georgia is a small rural city in northwestern Georgia known for its quiet community and proximity to the foothills of the Appalachian Mountains.
  • E. Whigham, Georgia
    Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898da015081909e83fb62cf166b9a completed April 22, 2026, 9:46 a.m.
Created at: April 16, 2026, 4:43 p.m.