Triple

T21379358
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 42 E527300 entity
Predicate passesThrough P225 FINISHED
Object Forsyth, 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: Forsyth, Georgia | Statement: [Georgia State Route 42, passesThrough, Forsyth, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forsyth, Georgia
Context triple: [Georgia State Route 42, passesThrough, Forsyth, Georgia]
  • A. Forsyth, Georgia chosen
    Forsyth, Georgia is a small city in Monroe County known for its historic downtown, role as a regional crossroads, and proximity to Macon in central Georgia.
  • B. Forsyth
    Forsyth is a Scottish-origin surname borne by numerous notable individuals, including British thriller writer Frederick Forsyth.
  • C. Fayetteville, Georgia
    Fayetteville, Georgia is a suburban city south of Atlanta that serves as the county seat of Fayette County and is known for its historic downtown and proximity to major film production studios.
  • D. Franklin, Georgia
    Franklin, Georgia is a small city in western Georgia that serves as the administrative and cultural center of rural Heard County.
  • E. Arlington, Georgia
    Arlington, Georgia is a small rural city in the southwestern part of the state known historically for its agricultural economy and tight-knit community.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cc2b5c8190aa5f20f920523fe9 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.